Bibliometric Analysis of Microgrid Control Strategy from 2007 to 2022 Based on CiteSpace

References

• X. Yu and Y. Geng, “Complementary configuration research of new combined cooling, heating, and power system driven by renewable energy under energy management modes,” Energy Technol., vol. 7, no. 10, p. 1900409, 2019. DOI: 10.1002/ente.201900409.
   Web of Science ®Google Scholar
• L. Zhu, et al., “A novel consequent-pole magnetic lead screw and its 3-D analytical model with experimental verification for wave energy conversion,” IEEE Trans. Energy Convers., pp. 1–13, 2024. DOI: 10.1109/TEC.2023.3331008.
   Google Scholar
• F. R. Badal, et al., “A survey on control issues in renewable energy integration and microgrid,” Prot. Control Mod. Power Syst., vol. 4, no. 1, pp. 1–27, 2019. DOI: 10.1186/s41601-019-0122-8.
   Google Scholar
• A. Dagar, P. Gupta and V. Niranjan, “Microgrid protection: A comprehensive review,” Renewable Sustainable Energy Rev., vol. 149, p. 111401, 2021. DOI: 10.1016/j.rser.2021.
   Web of Science ®Google Scholar
• K. Peddakapu, et al., “Stabilization of frequency in multi-microgrid system using barnacle mating optimizer-based cascade controllers,” Sustainable Energy Technol. Assess., vol. 54, p. 102823, 2022. DOI: 10.1016/j.seta.2022.102823.
   Web of Science ®Google Scholar
• E. C. Pillco, L. F. C. Alberto and R. V. de Oliveira, “Time scale stability analysis of a Hopf bifurcation in a wind-diesel hybrid microgrid,” IET Renewable Power Gener., vol. 14, no. 9, pp. 1491–1501, 2020. DOI: 10.1049/iet-rpg.2019.1193.
   Web of Science ®Google Scholar
• M. Dashtdar, et al., “Improving the sharing of active and reactive power of the islanded microgrid based on load voltage control,” Smart Sci., vol. 10, no. 2, pp. 142–157, 2022. DOI: 10.1080/23080477.2021.2012010.
   Web of Science ®Google Scholar
• S. Marchand, et al., “Microgrid systems: Towards a technical performance assessment frame,” Energies, vol. 14, no. 8, p. 2161, 2021. DOI: 10.3390/en14082161.
   Web of Science ®Google Scholar
• B. Sahoo, S. K. Routray and P. K. Rout, “AC, DC, and hybrid control strategies for smart microgrid application: A review,” Int. Trans. Electr. Energy Syst., vol. 31, no. 1, pp. 53, 2021. DOI: 10.1002/2050-7038.12683.
   Web of Science ®Google Scholar
• S. K. Sahoo, A. K. Sinha and N. K. Kishore, “Control techniques in AC, DC, and hybrid AC–DC microgrid: A review,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 6, no. 2, pp. 738–759, 2018. DOI: 10.1109/JESTPE.2017.2786588.
   Web of Science ®Google Scholar
• Z. A. Arfeen, et al., “Control of distributed generation systems for microgrid applications: A technological review,” Int. Trans. Electr. Energy Syst., vol. 29, no. 9, pp. 26, 2019. DOI: 10.1002/2050-7038.12072.
   Web of Science ®Google Scholar
• B. Arbab-Zavar, et al., “Smart inverters for microgrid applications: A review,” Energies, vol. 12, no. 5, p. 840, 2019. DOI: 10.3390/en12050840.
   Web of Science ®Google Scholar
• B. Adineh, et al., “Review of harmonic mitigation methods in microgrid: From a hierarchical control perspective,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 9, no. 3, pp. 3044–3060, 2021. DOI: 10.1109/JESTPE.2020.3001971.
   Web of Science ®Google Scholar
• S. B. Wali, et al., “Grid-connected lithium-ion battery energy storage system: A bibliometric analysis for emerging future directions,” J. Cleaner Prod., vol. 334, p. 130272, 2022. DOI: 10.1016/j.jclepro.2021.
   Web of Science ®Google Scholar
• Y. Geng, et al., “Progress and framework of clean energy production: Bibliometric analysis from 2002 to 2022,” Energy Strategy Rev., vol. 52, p. 101270, 2024. DOI: 10.1016/j.esr.2023.
   Google Scholar
• X. W. Su, X. Li and Y. X. Kang, “A bibliometric analysis of research on intangible cultural heritage using CiteSpace,” SAGE Open, vol. 9, no. 2, p. 215824401984011, 2019. DOI: 10.1177/2158244019840119.
   Web of Science ®Google Scholar
• X. Ding and Z. Yang, “Knowledge mapping of platform research: A visual analysis using VOSviewer and CiteSpace,” Electron. Commer. Res., vol. 22, no. 3, pp. 787–809, 2022. DOI: 10.1007/s10660-020-09410-7.
   Web of Science ®Google Scholar
• S. W. Phoong, S. Y. Phoong and S. L. Khek, “Systematic literature review with bibliometric analysis on markov switching model: Methods and applications,” SAGE Open, vol. 12, no. 2, p. 215824402210930, 2022. DOI: 10.1177/21582440221093062.
   Web of Science ®Google Scholar
• W. W. Pan, L. R. Jian and T. Liu, “Grey system theory trends from 1991 to 2018: A bibliometric analysis and visualization,” Scientometrics, vol. 121, no. 3, pp. 1407–1434, 2019. DOI: 10.1007/s11192-019-03256-z.
   Web of Science ®Google Scholar
• Y. Q. Geng and M. Maimaituerxun, “Research progress of green marketing in sustainable consumption based on CiteSpace analysis,” SAGE Open, vol. 12, no. 3, p. 215824402211198, 2022. DOI: 10.1177/21582440221119835.
   Web of Science ®Google Scholar
• Wu J, Wu X Y, Zhang J W, “Development trend and frontier of stormwater management (1980-2019): A bibliometric overview based on CiteSpace,” Water, Vol. 11, no. 9, p.1908, 2019. DOI: 10.3390/w11091908.
   Web of Science ®Google Scholar
• Y. Geng, et al., “Bibliometric analysis of sustainable tourism using CiteSpace,” Technol. Forecasting Soc. Change, vol. 202, p. 123310, 2024. DOI: 10.1016/j.techfore.2024.123310.
   Google Scholar
• Q. Ping, J. G. He and C. M. Chen, “How many ways to use citespace? A study of user interactive events over 14 months,” J. Assoc. Inf. Sci. Technol., vol. 68, no. 5, pp. 1234–1256, 2017. DOI: 10.1002/asi.23770.
   Web of Science ®Google Scholar
• J. M. Guerrero, et al., “Hierarchical control of droop-controlled AC and DC microgrids—A general approach toward standardization,” IEEE Trans. Ind. Electron., vol. 58, no. 1, pp. 158–172, 2011. DOI: 10.1109/TIE.2010.2066534.
   Web of Science ®Google Scholar
• Y. W. Li and C.-N. Kao, “An accurate power control strategy for power-electronics-interfaced distributed generation units operating in a low-voltage multibus microgrid,” IEEE Trans. Power Electron., vol. 24, no. 12, pp. 2977–2988, 2009. DOI: 10.1109/TPEL.2009.2022828.
   Web of Science ®Google Scholar
• J. M. Guerrero, et al., “Decentralized control for parallel operation of distributed generation inverters using resistive output impedance,” IEEE Trans. Ind. Electron., vol. 54, no. 2, pp. 994–1004, 2007. DOI: 10.1109/TIE.2007.892621.
   Web of Science ®Google Scholar
• M. S. Mahmoud, M. Saif Ur Rahman and F. M. A.l.‐Sunni, “Review of microgrid architectures – A system of systems perspective,” IET Renewable Power Gener., vol. 9, no. 8, pp. 1064–1078, 2015. DOI: 10.1049/iet-rpg.2014.0171.
   Web of Science ®Google Scholar
• P. Basak, et al., “A literature review on integration of distributed energy resources in the perspective of control, protection and stability of microgrid,” Renewable Sustainable Energy Rev., vol. 16, no. 8, pp. 5545–5556, 2012. DOI: 10.1016/j.rser.2012.05.043.
   Web of Science ®Google Scholar
• L. Meng, et al., “Review on control of DC microgrids and multiple microgrid clusters,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 5, no. 3, pp. 928–948, 2017. DOI: 10.1109/JESTPE.2017.2690219.
   Web of Science ®Google Scholar
• Y. Han, et al., “MAS-based distributed coordinated control and optimization in microgrid and microgrid clusters: A comprehensive overview,” IEEE Trans. Power Electron., vol. 33, no. 8, pp. 6488–6508, 2018. DOI: 10.1109/TPEL.2017.2761438.
   Web of Science ®Google Scholar
• J. Liu, et al., “Enhanced virtual synchronous generator control for parallel inverters in microgrids,” IEEE Trans. Smart Grid, vol. 8, no. 5, pp. 2268–2277, 2017. DOI: 10.1109/TSG.2016.2521405.
   Web of Science ®Google Scholar
• H. Zhang, et al., “Notice of removal: Distributed adaptive virtual impedance control for accurate reactive power sharing based on consensus control in microgrids,” IEEE Trans. Smart Grid, vol. 8, no. 4, pp. 1749–1761, 2017. DOI: 10.1109/TSG.2015.2506760.
   Web of Science ®Google Scholar
• Y. Fan, G. Hu and M. Egerstedt, “Distributed reactive power sharing control for microgrids with event-triggered communication,” IEEE Trans. Contr. Syst. Technol., vol. 25, no. 1, pp. 118–128, 2017. DOI: 10.1109/TCST.2016.2552982.
   Web of Science ®Google Scholar
• W. Wu, et al., “A virtual inertia control strategy for DC microgrids analogized with virtual synchronous machines,” IEEE Trans. Ind. Electron., vol. 64, no. 7, pp. 6005–6016, 2017. DOI: 10.1109/TIE.2016.2645898.
   Web of Science ®Google Scholar
• X. Wu, C. Shen and R. Iravani, “A distributed, cooperative frequency and voltage control for microgrids,” IEEE Trans. Smart Grid, vol. 9, no. 4, pp. 2764–2776, 2018. DOI: 10.1109/TSG.2016.2619486.
   Web of Science ®Google Scholar
• S. Hajiaghasi, A. Salemnia and M. Hamzeh, “Hybrid energy storage system for microgrids applications: A review,” J. Energy Storage, vol. 21, pp. 543–570, 2019. DOI: 10.1016/j.est.2018.12.017.
   Web of Science ®Google Scholar
• Q. Xu, et al., “A decentralized dynamic power sharing strategy for hybrid energy storage system in autonomous DC microgrid,” IEEE Trans. Ind. Electron., vol. 64, no. 7, pp. 5930–5941, 2017. DOI: 10.1109/TIE.2016.2608880.
   Web of Science ®Google Scholar
• Y. Zhou, et al., “Frequency deviation-free compound control strategy for seamless mode transfer in microgrids based on VSG,” Front. Energy Res., vol. 10, p. 945132, 2022. DOI: 10.3389/fenrg.2022.945132.
   Web of Science ®Google Scholar
• M. R. Ghodsi, A. Tavakoli and A. Samanfar, “Microgrid stability improvement using a deep neural network controller based VSG,” Int. Trans. Electr. Energy Syst., vol. 2022, pp. 1–17, 2022. DOI: 10.1155/2022/7539173.
   Web of Science ®Google Scholar
• L. Zhang, et al., “Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system,” IET Renewable Power Gen., vol. 16, no. 8, pp. 1589–1601, 2022. DOI: 10.1049/rpg2.12461.
   Web of Science ®Google Scholar
• K. Ahmed, et al., “Voltage stability and power sharing control of distributed generation units in DC microgrids,” Energies, vol. 16, no. 20, p. 7038, 2023. DOI: 10.3390/en1620.
   Web of Science ®Google Scholar
• L. Xing, et al., “Distributed secondary control of DC microgrid via the averaging of virtual current derivatives,” IEEE Trans. Ind. Electron., vol. 71, no. 3, pp. 2914–2923, 2024. DOI: 10.1109/TIE.2023.3269470.
   Web of Science ®Google Scholar
• M. Moradi, et al., “Discrete-time distributed secondary control of DC microgrids with communication delays,” Electr. Power Syst. Res., vol. 226, p. 109935, 2024. DOI: 10.1016/j.epsr.2023.
   Web of Science ®Google Scholar
• L. Berger, A. D. Henry and G. Pivo, “Role of city collaboration networks in the acceleration and attenuation of integrated water management,” Water Policy, vol. 23, no. 2, pp. 222–238, 2021. DOI: 10.2166/wp.2021.223.
   Web of Science ®Google Scholar
• S. Zhang, et al., “The impact of international relations patterns on China’s energy security supply, demand, and sustainable development: An exploration of oil demand and sustainability goals,” Sustainability, vol. 15, no. 17, p. 12801, 2023. DOI: 10.3390/su1517.
   Web of Science ®Google Scholar
• A. Ali, et al., “Overview of current microgrid policies, incentives and barriers in the European Union, United States and China,” Sustainability, vol. 9, no. 7, p. 1146, 2017. DOI: 10.3390/su907.
   Web of Science ®Google Scholar
• Q. Liu, et al., “China’s energy revolution strategy into 2030,” Resour. Conserv. Recycl., vol. 128, pp. 78–89, 2018. DOI: 10.1016/j.resconrec.2017.09.028.
   Web of Science ®Google Scholar
• E. Ryland, “Danish wind power policy: Domestic and international forces,” Environ. Polit., vol. 19, no. 1, pp. 80–85, 2010. DOI: 10.1080/09644010903396093.
   Web of Science ®Google Scholar
• A. Berg, J. Lukkarinen and K. Ollikka, “Sticky’ policies—Three country cases on long-term commitment and rooting of RE policy goals,” Energies, vol. 13, no. 6, p. 1351, 2020. DOI: 10.3390/en1306.
   Web of Science ®Google Scholar
• F. Guo, et al., “Distributed secondary voltage and frequency restoration control of droop-controlled inverter-based microgrids,” IEEE Trans. Ind. Electron., vol. 62, no. 7, pp. 4355–4364, 2015. DOI: 10.1109/TIE.2014.2379211.
   Web of Science ®Google Scholar
• X. Li, et al., “Distributed dynamic event-triggered power management strategy for global economic operation in high-power hybrid AC/DC microgrids,” IEEE Trans. Sustainable Energy, vol. 13, no. 3, pp. 1830–1842, 2022. DOI: 10.1109/TSTE.2022.3172703.
   Web of Science ®Google Scholar
• J. Lu, et al., “Distributed dynamic event-triggered control for voltage restoration and current sharing in DC microgrids,” IEEE Trans. Sustainable Energy, vol. 13, no. 1, pp. 619–628, 2022. DOI: 10.1109/TSTE.2021.3123372.
   Web of Science ®Google Scholar
• L. C. Freeman, “Centrality in social networks conceptual clarification,” Soc. Networks, vol. 1, no. 3, pp. 215–239, 1978. DOI: 10.1016/0378-8733(78)90021-7.
   Web of Science ®Google Scholar
• Z. Ullah, et al., “Advanced energy management strategy for microgrid using real-time monitoring interface,” J. Energy Storage, vol. 52, p. 104814, 2022. DOI: 10.1016/j.est.2022.
   Web of Science ®Google Scholar
• U. B. Tayab, et al., “A review of droop control techniques for microgrid,” Renewable Sustainable Energy Rev., vol. 76, pp. 717–727, 2017. DOI: 10.1016/j.rser.2017.03.028.
   Web of Science ®Google Scholar
• T. Jumani, et al., “Optimal power flow controller for grid-connected microgrids using grasshopper optimization algorithm,” Electronics, vol. 8, no. 1, p. 111, 2019. DOI: 10.3390/electronics8010.
   Web of Science ®Google Scholar
• Y. Peng, et al., “Modeling and stability analysis of inverter-based microgrid under harmonic conditions,” IEEE Trans. Smart Grid, vol. 11, no. 2, pp. 1330–1342, 2020. DOI: 10.1109/TSG.2019.2936041.
   Web of Science ®Google Scholar
• M. D. Pham and H. H. Lee, “Coordinated virtual resistance and capacitance control scheme for accurate reactive power sharing and selective harmonic compensation in islanded microgrid,” IET Gener. Transm. Distrib., vol. 14, no. 22, pp. 5104–5113, 2020. DOI: 10.1049/iet-gtd.2020.0581.
   Web of Science ®Google Scholar
• B. Modu, et al., “DC-based microgrid: Topologies, control schemes, and implementations,” Alexandria Eng. J., vol. 70, pp. 61–92, 2023. DOI: 10.1016/j.aej.2023.02.021.
   Web of Science ®Google Scholar
• M. Mishra, et al., “A systematic review on DC-microgrid protection and grounding techniques: Issues, challenges and future perspective,” Appl. Energy, vol. 313, pp. 118810, 2022. DOI: 10.1016/j.apenergy.2022.
   Web of Science ®Google Scholar
• A. G. Rameshrao, E. Koley and S. Ghosh, “A packet-loss resilient protection scheme for hybrid microgrids based on Markov chain model and spline interpolation,” Sustainable Energy, Grids Networks, vol. 35, p. 101121, 2023. DOI: 10.1016/j.segan.2023.
   Web of Science ®Google Scholar
• H. Yan, et al., “Adaptive event-triggered predictive control for finite time microgrid,” IEEE Trans. Circuits Syst. I, vol. 67, no. 3, pp. 1035–1044, 2020. DOI: 10.1109/TCSI.2019.2953958.
   Google Scholar
• Y. Ma, et al., “Decentralized and coordinated scheduling model of interconnected multi-microgrid based on virtual energy storage,” Int. J. Electr. Power Energy Syst., vol. 148, p. 108990, 2023. DOI: 10.1016/j.ijepes.2023.
   Web of Science ®Google Scholar
• X. Jin, et al., “Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system,” Appl. Energy, vol. 194, pp. 386–398, 2017. DOI: 10.1016/j.apenergy.2016.07.080.
   Web of Science ®Google Scholar
• C. Wang, et al., “Optimal control of source–load–storage energy in DC microgrid based on the virtual energy storage system,” Energy Rep., vol. 9, pp. 621–630, 2023. DOI: 10.1016/j.egyr.2022.12.002.
   Web of Science ®Google Scholar
• P. S. Skardal and A. Arenas, “Control of coupled oscillator networks with application to microgrid technologies,” Sci. Adv., vol. 1, no. 7, p. e1500339, 2015. DOI: 10.1126/sciadv.1500339.
   PubMed Web of Science ®Google Scholar
• Y. Geng, et al., “Temporal-spatial measurement and prediction between air environment and inbound tourism: Case of China,” J. Cleaner Prod., vol. 287, pp. 125486, 2021. DOI: 10.1016/j.jclepro.2020.
   Web of Science ®Google Scholar
• M. Keshavarz-Ghorabaee, Y. Geng and F. Huang, “Coupling coordination between higher education and environmental governance: Evidence of western China,” Plos One, vol. 17, no. 8, p. e0271994, 2022. DOI: 10.1371/journal.pone.0271994.
   PubMed Web of Science ®Google Scholar
• Y. Geng and H. Zhang, “Coordination assessment of environment and urbanization: Hunan case,” Environ. Monit. Assess., vol. 192, no. 10, p. 637, 2020. DOI: 10.1007/s10661-020-08598-3.
   PubMed Web of Science ®Google Scholar
• U. G. Onu, A. C. Zambroni de Souza and B. D. Bonatto, “Drivers of microgrid projects in developed and developing economies,” Util. Policy, vol. 80, p. 101487, 2023. no., pp DOI: 10.1016/j.jup.2022.
   Web of Science ®Google Scholar
• W. Feng, et al., “A review of microgrid development in the United States – A decade of progress on policies, demonstrations, controls, and software tools,” Appl. Energy, vol. 228, pp. 1656–1668, 2018. DOI: 10.1016/j.apenergy.2018.06.096.
   Web of Science ®Google Scholar
• P. Liu, R. Zhao and X. Han, “Assessing the efficiency and the justice of energy transformation for the United States of America, China, and the European Union,” Sustainable Dev., vol. 31, no. 5, pp. 3387–3407, 2023. DOI: 10.1002/sd.2591.
   Web of Science ®Google Scholar
• Z. Jiang, et al., “Green innovation transformation, economic sustainability and energy consumption during China’s new normal stage,” J. Cleaner Prod., vol. 273, p. 123044, 2020. DOI: 10.1016/j.jclepro.2020.123044.
   Web of Science ®Google Scholar
• P. K. Gorijeevaram Reddy, S. Dasarathan and V. Krishnasamy, “Investigation of adaptive droop control applied to low-voltage DC microgrid,” Energies, vol. 14, no. 17, p. 5356, 2021. DOI: 10.3390/en1417.
   Web of Science ®Google Scholar
• Z. Shuai, et al., “Droop control method for load share and voltage regulation in high-voltage microgrids,” J. Mod. Power Syst. Clean Energy, vol. 4, no. 1, pp. 76–86, 2016. DOI: 10.1007/s40565-015-0176-1.
   Web of Science ®Google Scholar
• Y. Peng, et al., “Microgrid optimal dispatch based on distributed economic model predictive control algorithm,” Energies, vol. 16, no. 12, p. 4658, 2023. DOI: 10.3390/en16124658.
   Web of Science ®Google Scholar
• T. H. Pham, et al., “Economic constrained optimization for power balancing in a DC microgrid: A multi-source elevator system application,” Int. J. Electr. Power Energy Syst., vol. 118, p. 105753, 2020. DOI: 10.1016/j.ijepes.2019.
   Web of Science ®Google Scholar
• S. Swaminathan, G. S. Pavlak and J. Freihaut, “Sizing and dispatch of an islanded microgrid with energy flexible buildings,” Appl. Energy, vol. 276, p. 115355, 2020. DOI: 10.1016/j.apenergy.2020.
   Web of Science ®Google Scholar
• V. Kumar, et al., “Stochastic wind energy integrated multi source power system control via a novel model predictive controller based on Harris Hawks optimization,” Energy Sources Part A, vol. 44, no. 4, pp. 10694–10719, 2022. DOI: 10.1080/15567036.2022.2156637.
   Google Scholar
• S. S. Khorramabadi and A. Bakhshai, “Critic-based self-tuning PI structure for active and reactive power control of VSCs in microgrid systems,” IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 92–103, 2015. DOI: 10.1109/TSG.2014.2354651.
   Web of Science ®Google Scholar
• S. Mehta and P. Basak, “A comprehensive review on control techniques for stability improvement in microgrids,” Int. Trans. Electr. Energy Syst., vol. 31, no. 4, p. 28, 2021. DOI: 10.1002/2050-7038.12822.
   Web of Science ®Google Scholar
• M. Armin, et al., “Robust extended h-infinity control strategy using linear matrix inequality approach for islanded microgrid,” IEEE Access., vol. 8, pp. 135883–135896, 2020. DOI: 10.1109/ACCESS.2020.3009188.
   Web of Science ®Google Scholar
• Y. Naderi, et al., “Multi-objective model predictive control for microgrid applications,” Int. J. Electr. Power Energy Syst., vol. 154, p. 109441, 2023. DOI: 10.1016/j.ijepes.2023.
   Web of Science ®Google Scholar
• C. Deng, et al., “Distributed resilient secondary control for DC microgrids against heterogeneous communication delays and DoS attacks,” IEEE Trans. Ind. Electron., vol. 69, no. 11, pp. 11560–11568, 2022. DOI: 10.1109/TIE.2021.3120492.
   Web of Science ®Google Scholar
• J. Chen, et al., “Static and dynamic event-triggered mechanisms for distributed secondary control of inverters in low-voltage islanded microgrids,” IEEE Trans. Cybern., vol. 52, no. 7, pp. 6925–6938, 2022. DOI: 10.1109/tcyb.2020.3034727.
   PubMed Web of Science ®Google Scholar
• T. J. Zhang, D. Yue, L. Yu, et al., “Joint energy and workload scheduling for fog-assisted multimicrogrid systems: A deep reinforcement learning approach,” IEEE Syst. J., vol. 17, no. 1, p. 12, 2022. DOI: 10.1109/jsyst.2022.3171534.
   Web of Science ®Google Scholar
• N. Mohammed, et al., “Accurate reactive power sharing strategy for droop-based islanded AC microgrids,” IEEE Trans. Ind. Electron., vol. 70, no. 3, pp. 2696–2707, 2023. DOI: 10.1109/TIE.2022.3167141.
   Web of Science ®Google Scholar
• J. Lu, et al., “A distributed control strategy for unbalanced voltage compensation in islanded AC microgrids without continuous communication,” IEEE Trans. Ind. Electron., vol. 70, no. 3, pp. 2628–2638, 2023. DOI: 10.1109/TIE.2022.3169841.
   Web of Science ®Google Scholar
• M.-H. Khooban, et al., “A robust adaptive load frequency control for micro-grids,” ISA Trans., vol. 65, pp. 220–229, 2016. DOI: 10.1016/j.isatra.2016.07.002.
   PubMed Web of Science ®Google Scholar
• S. M. Hashemi, et al., “Multi-objective operation of microgrids based on electrical and thermal flexibility metrics using the NNC and IGDT methods,” Int. J. Electr. Power Energy Syst., vol. 144, p. 108617, 2023. DOI: 10.1016/j.ijepes.2022.108617.
   Web of Science ®Google Scholar
• Y. Bu, et al., “Considering author sequence in all-author co-citation analysis,” Inf. Process. Manage., vol. 57, no. 6, p. 102300, 2020. DOI: 10.1016/j.ipm.2020.102300.
   Web of Science ®Google Scholar
• W. Jiang, et al., “Autonomous finite-time backstepping control for decentralized economic power dispatch in DC microgrids toward large-signal stability,” IEEE Trans. Ind. Electron., vol. 71, no. 3, pp. 2942–2954, 2024. DOI: 10.1109/TIE.2023.3262880.
   Web of Science ®Google Scholar
• S. Sharma, et al., “New mesh configurations with decentralized droop control method for DC microgrids,” IEEE Trans. Ind. Electron., vol. 71, no. 1, pp. 560–571, 2024. DOI: 10.1109/TIE.2023.3245220.
   Web of Science ®Google Scholar
• A. M. Othman, “Synergy of robust adaptive emulated- controller and enhanced mud layers optimization for microgrid dynamics improvement,” Renewable Sustainable Energy Rev., vol. 166, p. 112576, 2022. DOI: 10.1016/j.rser.2022.
   Web of Science ®Google Scholar
• M. Kumar, “Control techniques for operation of roof-top solar photovoltaics based microgrid in islanded mode,” Int. J. Electr. Power Energy Syst., vol. 155, p. 109511, 2024. DOI: 10.1016/j.ijepes.2023.
   Web of Science ®Google Scholar
• A. R. Battula and S. Vuddanti, “Distributed control strategy for secondary frequency regulation with EV demand aggregation and delay compensation in AC unbalanced microgrid,” Electr. Power Syst. Res., vol. 225, p. 109782, 2023. DOI: 10.1016/j.epsr.2023.
   Web of Science ®Google Scholar
• C. Dou, et al., “Layered management and hybrid control strategy based on hybrid automata and random forest for microgrid,” IET Renewable Power Gener., vol. 13, no. 16, pp. 3113–3123, 2019. DOI: 10.1049/iet-rpg.2019.0664.
   Web of Science ®Google Scholar
• C. Dou, et al., “Event‐triggered hybrid control strategy based on hybrid automata and decision tree for microgrid,” IET Gener. Transm. Distrib., vol. 13, no. 14, pp. 3066–3077, 2019. DOI: 10.1049/iet-gtd.2018.6928.
   Web of Science ®Google Scholar
• C. Wang, et al., “Impacts of cyber system on microgrid operational reliability,” IEEE Trans. Smart Grid, vol. 10, no. 1, pp. 105–115, 2019. DOI: 10.1109/TSG.2017.2732484.
   Web of Science ®Google Scholar
• M.-T. Kuo and S.-D. Lu, “Design and implementation of real-time intelligent control and structure based on multi-agent systems in microgrids,” Energies, vol. 6, no. 11, pp. 6045–6059, 2013. DOI: 10.3390/en6116045.
   Web of Science ®Google Scholar
• X. Yang, et al., “Impact analysis of cyber system in microgrids: Perspective from economy and reliability,” Int. J. Electr. Power Energy Syst., vol. 135, p. 107422, 2022. no., pp DOI: 10.1016/j.ijepes.2021.107422.
   Web of Science ®Google Scholar
• S. Areekkara, R. Kumar and R. C. Bansal, “An intelligent multi agent based approach for autonomous energy management in a microgrid,” Electr. Power Compon. Syst., vol. 49, nos. 1–2, pp. 18–31, 2021. DOI: 10.1080/15325008.2021.1937390.
   Web of Science ®Google Scholar
• J. M. Guerrero, et al., “Advanced control architectures for intelligent microgrids-Part I: Decentralized and hierarchical control,” IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1254–1262, 2013. DOI: 10.1109/TIE.2012.2194969.
   Web of Science ®Google Scholar
• D. E. Olivares, et al., “Trends in microgrid control,” IEEE Trans. Smart Grid, vol. 5, no. 4, pp. 1905–1919, 2014. DOI: 10.1109/TSG.2013.2295514.
   Web of Science ®Google Scholar
• Q. Shafiee, J. M. Guerrero and J. C. Vasquez, “Distributed secondary control for islanded microgrids—A novel approach,” IEEE Trans. Power Electron., vol. 29, no. 2, pp. 1018–1031, 2014. DOI: 10.1109/TPEL.2013.2259506.
   Web of Science ®Google Scholar
• X. Lu, et al., “An improved droop control method for DC microgrids based on low bandwidth communication with DC bus voltage restoration and enhanced current sharing accuracy,” IEEE Trans. Power Electron., vol. 29, no. 4, pp. 1800–1812, 2014. DOI: 10.1109/TPEL.2013.2266419.
   Web of Science ®Google Scholar
• Q.-C. Zhong, “Robust droop controller for accurate proportional load sharing among inverters operated in parallel,” IEEE Trans. Ind. Electron., vol. 60, no. 4, pp. 1281–1290, 2013. DOI: 10.1109/TIE.2011.2146221.
   Web of Science ®Google Scholar
• Y. Han, et al., “Review of active and reactive power sharing strategies in hierarchical controlled microgrids,” IEEE Trans. Power Electron., vol. 32, no. 3, pp. 2427–2451, 2017. DOI: 10.1109/TPEL.2016.2569597.
   Web of Science ®Google Scholar
• H. Han, et al., “Review of power sharing control strategies for islanding operation of AC microgrids,” IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 200–215, 2016. DOI: 10.1109/TSG.2015.2434849.
   Web of Science ®Google Scholar
• T. Dragicevic, et al., “DC microgrids–Part I: A review of control strategies and stabilization techniques,” IEEE Trans. Power Electron., vol. 31, no. 7, pp. 4876–4891, 2015. DOI: 10.1109/TPEL.2015.2478859.
   Web of Science ®Google Scholar
• J. W. Simpson-Porco, et al., “Secondary frequency and voltage control of islanded microgrids via distributed averaging,” IEEE Trans. Ind. Electron., vol. 62, no. 11, pp. 7025–7038, 2015. DOI: 10.1109/TIE.2015.2436879.
   Web of Science ®Google Scholar
• A. Azam, et al., “Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace,” Renewable Sustainable Energy Rev., vol. 150, p. 111460, 2021. DOI: 10.1016/j.rser.2021.111460.
   Web of Science ®Google Scholar
• H. Liao, et al., “A bibliometric analysis and visualization of medical big data research,” Sustainability, vol. 10, no. 2, p. 166, 2018. DOI: 10.3390/su10010166.
   Web of Science ®Google Scholar
• R. Majumder, et al., “Improvement of stability and load sharing in an autonomous microgrid using supplementary droop control loop,” IEEE Trans. Power Syst., vol. 25, no. 2, pp. 796–808, May 2010. DOI: 10.1109/TPWRS.2009.2032049.
   Web of Science ®Google Scholar
• J.-Y. Kim, et al., “Cooperative control strategy of energy storage system and microsources for stabilizing the microgrid during islanded operation,” IEEE Trans. Power Electron., vol. 25, no. 12, pp. 3037–3048, 2010. DOI: 10.1109/TPEL.2010.2073488.
   Web of Science ®Google Scholar
• I. Rai, et al., “Nonlinear adaptive controller design to stabilize constant power loads connected-DC microgrid using disturbance accommodation technique,” Electr. Eng., vol. 106, no. 1, pp. 165–180, 2023. DOI: 10.1007/s00202-023-01982-5.
   Google Scholar
• W. Du, et al., “A comparative study of two widely used grid-forming droop controls on microgrid small-signal stability,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 8, no. 2, pp. 963–975, 2020. DOI: 10.1109/JESTPE.2019.2942491.
   Web of Science ®Google Scholar
• B. Li, Y. Chen and J. He, “A simple closed-loop interphase power controller for cascaded H-bridge converter-based DG units in islanded microgrids with imbalanced loads,” J. Power Electron., vol. 23, no. 10, pp. 1605–1617, 2023. DOI: 10.1007/s43236-023-00659-3.
   Web of Science ®Google Scholar
• J. Choi and A. Bidram, “Distributed finite-time event-triggered current sharing and voltage control of DC microgrids,” Int. J. Elect. Power Energy Syst., vol. 151, p. 109142, 2023. DOI: 10.1016/j.ijepes.2023.
   Web of Science ®Google Scholar
• S. S. Rangarajan, et al., “DC microgrids: A propitious smart grid paradigm for smart cities,” Smart Cities, vol. 6, no. 4, pp. 1690–1718, 2023. DOI: 10.3390/smartcities6040079.
   Google Scholar
• M. S. Alam, et al., “Planning and protection of DC microgrid: A critical review on recent developments,” Eng. Sci. Technol., Int. J., vol. 41, p. 101404, 2023. no., pp. DOI: 10.1016/j.jestch.2023.101404.
   Google Scholar
• Y. Zhu, et al., “A virtual impedance optimization method for reactive power sharing in networked microgrid,” IEEE Trans. Power Electron., vol. 31, no. 4, pp. 2890–2904, 2016. DOI: 10.1109/TPEL.2015.2450360.
   Web of Science ®Google Scholar
• S. M. S. Hosseinimoghadam, M. Dashtdar and M. Dashtdar, “Improving the sharing of reactive power in an islanded microgrid based on adaptive droop control with virtual impedance,” Autom. Control Comp. Sci., vol. 55, no. 2, pp. 155–166, 2021. DOI: 10.3103/S0146411621020061.
   Web of Science ®Google Scholar
• X. Wu, C. Shen and R. Iravani, “Feasible range and optimal value of the virtual impedance for droop-based control of microgrids,” IEEE Trans. Smart Grid, vol. 8, no. 3, pp. 1242–1251, 2017. DOI: 10.1109/TSG.2016.2519454.
   Web of Science ®Google Scholar
• J. Han, et al., “An autonomous power-frequency control strategy based on load virtual synchronous generator,” Processes, vol. 8, no. 4, p. 433, 2020. DOI: 10.3390/pr8040.
   Web of Science ®Google Scholar
• L. Meng, et al., “Design and parameter analysis of an improved pre-synchronization method for multiple inverters based on virtual synchronization generator control in microgrid,” Energy Rep., vol. 8, pp. 928–937, 2022. DOI: 10.1016/j.egyr.2022.02.111.
   Web of Science ®Google Scholar
• P. Li, et al., “A frequency control strategy of electric vehicles in microgrid using virtual synchronous generator control,” Energy, vol. 189, p. 116389, 2019. DOI: 10.1016/j.energy.2019.116389.
   Web of Science ®Google Scholar
• F. Aghaee, AD. Mahdian, N. Bayati, et al., “Distributed control methods and impact of communication failure in AC microgrids: A comparative review,” Electronics, Vol. 8, no. 11, p. 1265, 2019. DOI: 10.3390/electronics8111265.
   Web of Science ®Google Scholar
• T. Morstyn, et al., “Unified distributed control for DC microgrid operating modes,” IEEE Trans. Power Syst., vol. 31, no. 1, pp. 802–812, 2016. DOI: 10.1109/TPWRS.2015.2406871.
   Web of Science ®Google Scholar
• T. Logenthiran, et al., “Intelligent control system for microgrids using multiagent system,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 3, no. 4, pp. 1036–1045, 2015. DOI: 10.1109/JESTPE.2015.2443187.
   Web of Science ®Google Scholar
• A. L. Dimeas and N. D. Hatziargyriou, “Operation of a multiagent system for microgrid control,” IEEE Trans. Power Syst., vol. 20, no. 3, pp. 1447–1455, 2005. DOI: 10.1109/TPWRS.2005.852060.
   Web of Science ®Google Scholar
• H.-M. Kim, Y. Lim and T. Kinoshita, “An intelligent multiagent system for autonomous microgrid operation,” Energies, vol. 5, no. 9, pp. 3347–3362, 2012. DOI: 10.3390/en5093347.
   Web of Science ®Google Scholar
• N. R. Tummuru, M. K. Mishra and S. Srinivas, “An improved current controller for grid connected voltage source converter in microgrid applications,” IEEE Trans. Sustainable Energy, vol. 6, no. 2, pp. 595–605, 2015. DOI: 10.1109/TSTE.2015.2399496.
   Web of Science ®Google Scholar
• S.-Y. Lu, et al., “Integration of wind power and wave power generation systems using a DC microgrid,” IEEE Trans. Ind. Appl., vol. 51, no. 4, pp. 2753–2761, 2015. DOI: 10.1109/TIA.2014.2367102.
   Web of Science ®Google Scholar
• Y. Geng, N. Zhang and R. Zhu, “Research progress analysis of sustainable smart grid based on CiteSpace,” Energy Strategy Rev., vol. 48, p. 101111, 2024. DOI: 10.1016/j.esr.2023.101111.
   Web of Science ®Google Scholar
• N. Tomin, et al., “Design and optimal energy management of community microgrids with flexible renewable energy sources,” Renewable Energy, vol. 183, pp. 903–921, 2022. DOI: 10.1016/j.renene.2021.11.024.
   Web of Science ®Google Scholar
• S. Rath, et al., “A cyber-secure distributed control architecture for autonomous AC microgrid,” IEEE Syst. J., vol. 15, no. 3, pp. 3324–3335, 2021. DOI: 10.1109/JSYST.2020.3020968.
   Web of Science ®Google Scholar
• Z. Yang, et al., “Analysis of voltage control strategies for DC microgrid with multiple types of energy storage systems,” Electronics, vol. 12, no. 7, pp. 1661, 2023. DOI: 10.3390/electronics1207.
   Web of Science ®Google Scholar
• L. Guo, et al., “Research on multi-scenario variable parameter energy management strategy of rural community microgrid,” Appl. Sci., vol. 10, no. 8, p. 2730, 2020. DOI: 10.3390/app1008.
   Google Scholar
• W. Lu, et al., “Design and application of microgrid operation control system based on IEC 61850,” J. Mod. Power Syst. Clean Energy, vol. 2, no. 3, pp. 256–263, 2014. DOI: 10.1007/s40565-014-0074-y.
   Web of Science ®Google Scholar
• M. Parol, et al., “Optimum management of power and energy in low voltage microgrids using evolutionary algorithms and energy storage,” Int. J. Electr. Power Energy Syst., vol. 119, p. 105886, 2020. DOI: 10.1016/j.ijepes.2020.
   Web of Science ®Google Scholar
• M. A. Jirdehi, et al., “Different aspects of microgrid management: A comprehensive review,” J. Energy Storage, vol. 30, p. 101457, 2020. DOI: 10.1016/j.est.2020.
   Web of Science ®Google Scholar
• Q. He, et al., “Mapping the managerial areas of building information modeling (BIM) using scientometric analysis,” Int. J. Project Manage., vol. 35, no. 4, pp. 670–685, May 2017. DOI: 10.1016/j.ijproman.2016.08.001.
   Web of Science ®Google Scholar
• M. Frivaldsky, et al., “System level simulation of microgrid power electronic systems,” Electronics, vol. 10, no. 6, p. 644, 2021. DOI: 10.3390/electronics10060644.
   Web of Science ®Google Scholar
• B. Huang, et al., “Distributed optimal control of DC microgrid considering balance of charge state,” IEEE Trans. Energy Convers., vol. 37, no. 3, pp. 1–1, 2022. DOI: 10.1109/TEC.2022.3169462.
   Web of Science ®Google Scholar
• G. V. B. Kumar and K. Palanisamy, “A review of energy storage participation for ancillary services in a microgrid environment,” Inventions, vol. 5, no. 4, p. 63, 2020. DOI: 10.3390/inventions5040063.
   Google Scholar
• M. I. Juma, et al., “Design of a hybrid energy system with energy storage for standalone DC microgrid application,” Energies, vol. 14, no. 18, p. 5994, 2021. DOI: 10.3390/en14185994.
   Web of Science ®Google Scholar
• S. Rangi, S. Jain and Y. Arya, “Utilization of energy storage devices with optimal controller for multi-area hydro-hydro power system under deregulated environment,” Sustainable Energy Technol. Assess., vol. 52, p. 102191, 2022. no., pp. DOI: 10.1016/j.seta.2022.102191.
   Web of Science ®Google Scholar
• H. Pan, et al., “Energy coordinated control of DC microgrid integrated incorporating PV, energy storage and EV charging,” Appl. Energy, vol. 342, p. 121155, 2023. DOI: 10.1016/j.apenergy.2023.
   Web of Science ®Google Scholar
• A. Mirzabeigi, et al., “Distributed robust cooperative hierarchical control for island microgrids under hijacking attacks based on multiagent systems,” Int. Trans. Electr. Energy Syst., vol. 2023, pp. 1–15, 2023. DOI: 10.1155/2023/6622346.
   Web of Science ®Google Scholar
• M. S. Golsorkhi and M. Baharizadeh, “A unidirectional hierarchical control structure with zero power sharing error for hybrid AC/DC microgrid,” IEEE Trans. Energy Convers., vol. 38, no. 1, pp. 379–391, 2023. DOI: 10.1109/TEC.2022.3207566.
   Web of Science ®Google Scholar
• X. Hou, et al., “An improved decentralized control of cascaded inverters with robust stability against grid-voltage variation,” IEEE Trans. Energy Convers., vol. 38, no. 3, pp. 2223–2226, 2023. DOI: 10.1109/TEC.2021.3109797.
   Web of Science ®Google Scholar
• S. H. A. Soltani, S. Jalili and M. K. S. E. Eslami, “Decentralized control architecture for multi-authoring microgrids,” Computing, vol. 105, no. 12, pp. 2621–2646, 2023. DOI: 10.1007/s00607-023-01201-w.
   Web of Science ®Google Scholar
• P. A. Ahangar, S. A. Lone and N. Gupta, “Combining data-driven and model-driven approaches for optimal distributed control of standalone microgrid,” Sustainability, vol. 15, no. 16, p. 12286, 2023. DOI: 10.3390/su1516.
   Web of Science ®Google Scholar
• Z. Yang, F. Yang and J. Chen, “Optimal power distributed control of the DC microgrid in meshed configuration,” Front. Energy Res., vol. 11, p. 1201271, 2023. DOI: 10.3389/fenrg.2023.1201271.
   Web of Science ®Google Scholar
• R. Kandari, P. Gupta and A. Kumar, “Battery state of charge based improved adaptive droop control for power management of a microgrid having large scale renewable generation,” Sustainable Energy Technol. Assess., vol. 57, p. 103146, 2023. no., pp. DOI: 10.1016/j.seta.2023.103146.
   Web of Science ®Google Scholar
• H. Wang, et al., “Artificial neural network-based virtual synchronous generator dual droop control for microgrid systems,” Comput. Electr. Eng., vol. 111, p. 108930, 2023. no., pp DOI: 10.1016/j.compeleceng.2023.
   Web of Science ®Google Scholar
• F. Amiri and A. Hatami, “Load frequency control for two-area hybrid microgrids using model predictive control optimized by grey wolf-pattern search algorithm,” Soft Comput., vol. 27, no. 23, pp. 18227–18243, 2023. DOI: 10.1007/s00500-023-08077-0.
   Web of Science ®Google Scholar
• Y. Huang, et al., “Multi-objective optimization of campus microgrid system considering electric vehicle charging load integrated to power grid,” Sustainable Cities Soc., vol. 98, p. 104778, 2023. DOI: 10.1016/j.scs.2023.
   Web of Science ®Google Scholar
• G. Zhang, et al., “Load frequency control of marine microgrid system integrated with renewable energy sources,” J. Mar. Sci. Eng., vol. 11, no. 4, p. 844, 2023. DOI: 10.3390/jmse11040.
   Web of Science ®Google Scholar
• Z. Zhang, et al., “Accurate active and reactive power sharing based on a modified droop control method for islanded microgrids,” Sensors, vol. 23, no. 14, p. 6269, 2023. DOI: 10.3390/s2314.
   PubMed Web of Science ®Google Scholar
• C. Zhao, et al., “Optimal distributed coordinated reinforcement learning for secondary voltage control in time-delayed microgrid,” IEEE Syst. J., vol. 17, no. 3, pp. 3480–3491, 2023. DOI: 10.1109/JSYST.2023.3284403.
   Web of Science ®Google Scholar
• M. V. Kazemi, S. J. Sadati and S. A. Gholamian, “Adaptive frequency control of microgrid based on fractional order control and a data-driven control with stability analysis,” IEEE Trans. Smart Grid, vol. 13, no. 1, pp. 381–392, 2022. DOI: 10.1109/TSG.2021.3109627.
   Web of Science ®Google Scholar
• J. Xie, et al., “Wind farm power generation control via double-network-based deep reinforcement learning,” IEEE Trans. Ind. Inf., vol. 18, no. 4, pp. 2321–2330, 2022. DOI: 10.1109/TII.2021.3095563.
   Web of Science ®Google Scholar
• Z. Farooq, A. Rahman and S. A. Lone, “Power generation control of restructured hybrid power system with FACTS and energy storage devices using optimal cascaded fractional-order controller,” Optim. Control Appl. Methods, vol. 43, no. 3, pp. 757–786, May 2022. DOI: 10.1002/oca.2850.
   Web of Science ®Google Scholar
• O. Lasabi, et al., “Dynamic distributed collaborative control for equitable current distribution and voltage recovery in DC microgrids,” Energies, vol. 16, no. 18, p. 6657, 2023. DOI: 10.3390/en1618.
   Web of Science ®Google Scholar
• F. N. S. Al-Dulaimi and S. Kurnaz, “Optimized distributed cooperative control for islanded microgrid based on dragonfly algorithm,” Energies, vol. 16, no. 22, p. 7675, 2023. ppvDOI: 10.3390/en1622.
   Web of Science ®Google Scholar
• C. H. Liang, W. H. Ren, P. Cheng, et al., “Control strategy of photovoltaic DC microgrid based on fuzzy EEMD,” Tehnicki Vjesnik-Technical Gazette, vol. 29, no. 5, pp. 1762–9, 2022. DOI: 10.17559/tv-20220421043045.
   Web of Science ®Google Scholar
• K. Singh, M. Amir and Y. Arya, “Optimal dynamic frequency regulation of renewable energy based hybrid power system utilizing a novel TDF-TIDF controller,” Energy Sources Part A, vol. 44, no. 4, pp. 10733–10754, 2022. DOI: 10.1080/15567036.2022.2158251.
   Google Scholar
• E. Zhao, et al., “Accurate peer-to-peer hierarchical control method for hybrid DC microgrid clusters,” Energies, vol. 16, no. 1, p. 421, 2022. DOI: 10.3390/en16010.
   Web of Science ®Google Scholar
• W. Yang, et al., “MPC-based three-phase unbalanced power coordination control method for microgrid clusters,” Energy Rep., vol. 9, pp. 1830–1841, 2023. DOI: 10.1016/j.egyr.2022.12.079.
   Web of Science ®Google Scholar
• D. Jain and D. Saxena, “Comprehensive review on control schemes and stability investigation of hybrid AC-DC microgrid,” Electric Power Syst. Res., vol. 218, p. 109182, 2023. DOI: 10.1016/j.epsr.2023.
   Web of Science ®Google Scholar
• M. U. Safder, et al., “Enhancing microgrid stability and energy management: Techniques, challenges, and future directions,” Energies, vol. 16, no. 18, p. 6417, 2023. DOI: 10.3390/en1618.
   Web of Science ®Google Scholar
• S. Alqahtani, et al., “Impact of the high penetration of renewable energy sources on the frequency stability of the saudi grid,” Electronics, vol. 12, no. 6, p. 1470, 2023. DOI: 10.3390/electronics1206.
   Web of Science ®Google Scholar
• E. Irmak, E. Kabalcı and A. Calpbinici, “Event‐triggered distributed secondary control for enhancing efficiency, reliability and communication in island mode DC microgrids,” IET Renewable Power Gen., vol. 18, no. 1, pp. 78–94, 2023. DOI: 10.1049/rpg2.12897.
   Web of Science ®Google Scholar
• J. X. Jin, et al., “Hierarchical cooperative control strategy of distributed hybrid energy storage system in an island direct current microgrid,” J. Energy Storage, vol. 57, p. 106205, 2023. DOI: 10.1016/j.est.2022.
   Web of Science ®Google Scholar
• M. S. Hossain Lipu, et al., “A review of controllers and optimizations based scheduling operation for battery energy storage system towards decarbonization in microgrid: Challenges and future directions,” J. Cleaner Prod., vol. 360, p. 132188, 2022. DOI: 10.1016/j.jclepro.2022.
   Web of Science ®Google Scholar
• K. A. Al Sumarmad, et al., “Energy management and voltage control in microgrids using artificial neural networks, PID, and fuzzy logic controllers,” Energies, vol. 15, no. 1, p. 303, 2022. DOI: 10.3390/en15010.
   Web of Science ®Google Scholar
• A. Sikander, et al., “Control design approach for improved voltage stability in microgrid energy storage system,” Microsyst. Technol., vol. 28, no. 12, pp. 2821–2828, 2022. DOI: 10.1007/s00542-022-05395-5.
   Web of Science ®Google Scholar
• R. Choudhary, J. N. Rai and Y. Arya, “Cascade FOPI-FOPTID controller with energy storage devices for AGC performance advancement of electric power systems,” Sustainable Energy Technol. Assess., vol. 53, p. 102671, 2022. DOI: 10.1016/j.seta.2022.102671.
   Google Scholar