An Enhanced Rule-Based Approach for Optimizing Energy Costs and Battery Health in Microgrid Systems

References

• A. Muhtadi, D. Pandit, N. Nguyen and J. Mitra, “Distributed energy resources based microgrid: review of architecture, control, and reliability,” IEEE Trans. Ind. Appl., vol. 57, no. 3, pp. 2223–2235, Mar. 2021. DOI: 10.1109/TIA.2021.3065329.
   Web of Science ®Google Scholar
• P. K. Kushwaha and C. Bhattacharjee, “An extensive review of the configurations, modeling, storage technologies, design parameters, sizing methodologies, energy management, system control, and sensitivity analysis aspects of hybrid renewable energy systems,” Electr. Power. Compon. Syst., vol. 51, no. 20, pp. 2603–2642, May 2023. DOI: 10.1080/15325008.2023.2210556.
   Web of Science ®Google Scholar
• Y. Zahraoui et al., “Energy management system in microgrids: a comprehensive review,” Sustainability, vol. 13, no. 19, pp. 10492, Sep. 2021. DOI: 10.3390/su131910492.
   Web of Science ®Google Scholar
• M. F. Zia, E. Elbouchikhi, and M. Benbouzid, “Microgrids energy management systems: a critical review on methods, solutions, and prospects,” Appl. energy, vol. 222, pp. 1033–1055, May 2018. DOI: 10.1016/j.apenergy.2018.04.103.
   Web of Science ®Google Scholar
• L. Meng, E. R. Sanseverino, A. Luna, T. Dragicevic, J. C. Vasquez, and J. M. Guerrero, “Microgrid supervisory controllers and energy management systems: a literature review,” Renew. Sust. Energ. Rev., vol. 60, pp. 1263–1273, July 2016. DOI: 10.1016/j.rser.2016.03.003.
   Web of Science ®Google Scholar
• S. Choudhury, “Review of energy storage system technologies integration to microgrid: types, control strategies, issues, and future prospects,” J. Energy. Storage, vol. 48, pp. 103966, Apr. 2022. DOI: 10.1016/j.est.2022.103966.
   Web of Science ®Google Scholar
• M. Eslahi, A. F. Nematollahi, and B. Vahidi, “Day-Ahead scheduling of centralized energy storage system in electrical networks by proposed stochastic MILP-Based bi-objective optimization approach,” Electr. Power Syst. Res., vol. 192, pp. 106915, Mar. 2021. DOI: 10.1016/j.epsr.2020.106915.
   Web of Science ®Google Scholar
• K. Bio Gassi and M. Baysal, “Analysis of a linear programming‐based decision‐making model for microgrid energy management systems with renewable sources,” Intl. J. Energy Res., vol. 46, no. 6, pp. 7495–7518, Jan. 2022. DOI: 10.1002/er.7656.
   Web of Science ®Google Scholar
• H. Babanezhaad Shirdar and A. Ghafouri, “Optimization of multi-microgrid system operation cost with different energy management tools in the presence of energy storage system,” Electr. Power. Compon. Syst., vol. 50, no. 16–17, pp. 951–971, Oct. 2022. DOI: 10.1080/15325008.2022.2143938.
   Web of Science ®Google Scholar
• A. K. Erenoğlu, İ. Şengör, O. Erdinç, A. Taşcıkaraoğlu, and J. P. S. Catalão, “Optimal energy management system for microgrids considering energy storage, demand response and renewable power generation,” Int J. Electr. Power Energy Syst., vol. 136, pp. 107714, Mar. 2022. DOI: 10.1016/j.ijepes.2021.107714.
   Web of Science ®Google Scholar
• M. A. Mosa and A. Ali, “Energy management system of low voltage dc microgrid using mixed-integer nonlinear programing and a global optimization technique,” Electr. Power. Syst. Res., vol. 192, pp. 106971, Mar. 2021. DOI: 10.1016/j.epsr.2020.106971.
   Web of Science ®Google Scholar
• F. M. Shakeel and O. P. Malik, “ANFIS based energy management system for V2G integrated micro-grids,” Electr. Power. Compon. Syst, vol. 50, no. 11–12, pp. 584–599, Jul. 2022. DOI: 10.1080/15325008.2022.2138638.
   Web of Science ®Google Scholar
• M. M. Alam, M. H. Rahman, M. F. Ahmed, M. Z. Chowdhury, and Y. M. Jang, “Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system,” Sci. Rep., vol. 12, no. 1, pp. 15133, Sep. 2022. DOI: 10.1038/s41598-022-19147-y.
   PubMed Web of Science ®Google Scholar
• K. Kumar and V. Dutta, “Energy management strategy using model predictive control for power-to-gas (PtG) system integrated with microgrid,” MRS. Energy. Sustain, vol. 9, no. 2, pp. 518–533, Jul. 2022. DOI: 10.1557/s43581-022-00038-8.
   Web of Science ®Google Scholar
• G. Bao and R. Xu, “A data-driven energy management strategy based on deep reinforcement learning for microgrid systems,” Cogn. Comput., vol. 15, no. 2, pp. 739–750, Jan. 2023. DOI: 10.1007/s12559-022-10106-3.
   Web of Science ®Google Scholar
• M. Khorshidi and S. M. H. Hosseini, “Optimal power control in distributed generation units in an islanded microgrid,” Electr. Power. Compon. Syst., vol. 52, no. 9, pp. 1485–1496, Aug. 2023. DOI: 10.1080/15325008.2023.2240788.
   Google Scholar
• N. Azadi and H. Abdi, “A hybrid PSO-GA approach to investigate optimal power flow in a hybrid energy system based on emission level,” Electr. Power. Compon. Syst., vol. 50, no. 1–2, pp. 81–99, Jan. 2022. DOI: 10.1080/15325008.2022.2135646.
   Web of Science ®Google Scholar
• F. Wahid, R. Ghazali, and L. H. Ismail, “An enhanced approach of artificial bee colony for energy management in energy efficient residential building,” Wireless Pers Commun., vol. 104, no. 1, pp. 235–257, Jan. 2019. DOI: 10.1007/s11277-018-6017-6.
   Web of Science ®Google Scholar
• A. F. Güven, N. Yörükeren, and M. M. Samy, “Design optimization of a stand-alone green energy system of university campus based on Jaya-Harmony Search and Ant Colony Optimization algorithms approaches,” Energy, vol. 253, pp. 124089, Aug. 2022. DOI: 10.1016/j.energy.2022.124089.
   Web of Science ®Google Scholar
• P. A. Kumar, P. A. Jeyanthi, D. Devaraj, and G. M. Kurian, “Microgrid energy management using differential evolution algorithm,” presented at 2018 Int. Conf. Adv. Comput. Commun. Inform., Bangalore, India, Dec. 2018, pp. 1280–1284: IEEE. DOI: 10.1109/ICACCI.2018.8554603.
   Google Scholar
• A. Kumar and J. S. Dhillon, “Emended harris Hawk optimizer for mixed energy generation scheduling problem,” Electr. Power. Compon. Syst., vol. 52, no. 8, pp. 1235–1268, Aug. 2023. DOI: 10.1080/15325008.2023.2239224.
   Web of Science ®Google Scholar
• P. Singh, N. Anwer, and J. S. Lather, “Energy management and control for direct current microgrid with composite energy storage system using combined cuckoo search algorithm and neural network,” J. Energy. Storage, vol. 55, pp. 105689, Nov. 2022. DOI: 10.1016/j.est.2022.105689.
   Web of Science ®Google Scholar
• S. Sun, J. Fu, L. Wei, and A. Li, “Multi-objective optimal dispatching for a grid-connected micro-grid considering wind power forecasting probability,” IEEE. Access, vol. 8, pp. 46981–46997, Mar. 2020. DOI: 10.1109/ACCESS.2020.2977921.
   Web of Science ®Google Scholar
• M. M. Iqbal et al., “Optimal scheduling of residential home appliances by considering energy storage and stochastically modelled photovoltaics in a grid exchange environment using hybrid grey wolf genetic algorithm optimizer,” Appl. Sci., vol. 9, no. 23, pp. 5226, Dec. 2019. DOI: 10.3390/app9235226.
   Google Scholar
• N. R. Wee, J. J. Jamian, S. N. S. Nasir, and N. M. Zaid, “Enhanced Rule-based Energy Management System for an Islanded Microgrid,” presented at 2022 IEEE Int. Conf. Intell. Energy Power Syst, Langkawi, Kedah, Malaysia, Dec. 2022, pp. 144–148, IEEE. DOI: 10.1109/PECon54459.2022.9988802.
   Google Scholar
• V. Munisamy and J. Gunasekaran, “IoT Based Energy Management System (EMS) using SOFAT technique for smart grid distribution system,” Electr. Power. Compon. Syst., vol. 50, no. 4–5, pp. 282–300, Dec. 2022. DOI: 10.1080/15325008.2022.2136292.
   Web of Science ®Google Scholar
• A. Chakir et al., “Optimal energy management for a grid connected PV-battery system,” Energy. Rep, vol. 6, pp. 218–231, Feb. 2020. DOI: 10.1016/j.egyr.2019.10.040.
   Web of Science ®Google Scholar
• A. O. Ali, A. M. Hamed, M. M. Abdelsalam, M. N. Sabry, and M. R. Elmarghany, “Energy management of photovoltaic-battery system connected with the grid,” J. Energy. Storage, vol. 55, pp. 105865, Nov. 2022. DOI: 10.1016/j.est.2022.105865.
   Web of Science ®Google Scholar
• X. H. Nguyen and M. P. Nguyen, “Mathematical modeling of photovoltaic cell/module/arrays with tags in Matlab/Simulink,” Environ Syst Res, vol. 4, no. 1, pp. 1–13, Dec. 2015. DOI: 10.1186/s40068-015-0047-9.
   Google Scholar
• M. F. Zia, E. Elbouchikhi, and M. Benbouzid, “Optimal operational planning of scalable DC microgrid with demand response, islanding, and battery degradation cost considerations,” Appl. Energy, vol. 237, pp. 695–707, Mar. 2019. DOI: 10.1016/j.apenergy.2019.01.040.
   Web of Science ®Google Scholar
• M. Fanoro, M. Božanić, and S. Sinha, “A review of the impact of battery degradation on energy management systems with a special emphasis on electric vehicles,” Energies, vol. 15, no. 16, pp. 5889, Aug. 2022. DOI: 10.3390/en15165889.
   Web of Science ®Google Scholar
• S. Liu, R. Ling, and F. Feng, “Equalization strategy for fast energy regulation of supercapacitor in hybrid energy storage system,” J. Energy. Storage, vol. 65, pp. 107318, Aug. 2023. DOI: 10.1016/j.est.2023.107318.
   Web of Science ®Google Scholar
• A. Ruddell, et al., “Analysis of battery current microcycles in autonomous renewable energy systems,” J. Energy. Storage, vol. 112, no. 2, pp. 531–546, Nov. 2002. DOI: 10.1016/S0378-7753(02)00457-3.
   Google Scholar