Effective Control of Voltage and Frequency in Microgrid Using Adjustment of PID Coefficients by Metaheuristic Algorithms

References

• J. Rocabert, A. Luna, F. Blaabjerg, and P. Rodriguez, “Control of power converters in AC microgrids,” IEEE Trans. Power Electron., Vol. 27, no. 11, pp. 4734–49, Nov. 2012. doi: 10.1109/TPEL.2012.2199334
   Web of Science ®Google Scholar
• M. Mirhosseini, J. Pou, and V. G. Agelidis, “Single- and two-stage inverter-based grid-connected photovoltaic power plants with ride-through capability under grid faults,” IEEE Trans. Sustain. Energy, Vol. 6, no. 3, pp. 1150–9, Jul. 2015. doi: 10.1109/TSTE.2014.2347044
   Web of Science ®Google Scholar
• S. Dahal, N. Mithulananthan, and T. K. Saha, “Assessment and enhancement of small signal stability of a renewable-energy-based electricity distribution system,” IEEE Trans. Sustain. Energy, Vol. 3, no. 3, pp. 407–15, Jul. 2012. doi: 10.1109/TSTE.2012.2187079
   Web of Science ®Google Scholar
• S. K. Pandey, S. R. Mohanty, and N. Kishor, “A literature survey on load-frequency control for conventional and distribution generation power systems,” Renew. Sustain. Energy Rev., Vol. 25, pp. 318–34, Sep. 2013. doi: 10.1016/j.rser.2013.04.029
   Web of Science ®Google Scholar
• D. J. Lee, and L. Wang, “Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: time-domain simulations,” IEEE Trans. Energy Convers., Vol. 23, no. 1, pp. 311–20, Mar. 2008. doi: 10.1109/TEC.2007.914309
   Web of Science ®Google Scholar
• G. Mallesham, S. Mishra, and A. N. Jha, “Ziegler-Nichols based controller parameters tuning for load frequency control in a microgrid,” in 2011 International Conference on Energy, Automation and Signal, Bhubaneswar, India, Dec. 2011, pp. 1–8. doi: 10.1109/ICEAS.2011.6147128
   Google Scholar
• R. K. Khadanga, S. Padhy, S. Panda, and A. Kumar, “Design and analysis of multi-stage PID controller for frequency control in an islanded micro-grid using a novel hybrid whale optimization-pattern search algorithm,” Int. J. Numer. Model. Electron. Netw. Devices Fields, Vol. 31, no. 5, pp. e2349, May 2018. doi:10.1002/jnm.2349.
   Web of Science ®Google Scholar
• R. K. Khadanga, A. Kumar, and S. Panda, “A novel modified whale optimization algorithm for load frequency controller design of a two-area power system composing of PV grid and thermal generator,” Neural Comput. Appl. 2019. doi:10.1007/s00521-019-04321-7.
   Web of Science ®Google Scholar
• M. Armin, P. N. Roy, S. K. Sarkar, and S. K. Das, “LMI-based robust PID controller design for voltage control of islanded microgrid,” Asian J. Contr., Vol. 20, no. 5, pp. 2014–25, Jan. 2018. doi: 10.1002/asjc.1710
   Web of Science ®Google Scholar
• H. Wang, G. Zeng, Y. Dai, D. Bi, J. Sun, and X. Xie, “Design of a fractional order frequency PID controller for an islanded microgrid: a multi-objective extremal optimization method,” Energies, Vol. 10, no. 10, pp. 1–18, Oct. 2017.
   Web of Science ®Google Scholar
• H. Shayeghi, and A. Ghasemi, “Improvement of frequency fluctuations in microgrids using an optimized fuzzy P-PID controller by modified multi objective gravitational search algorithm,” IJEEE, Vol. 12, no. 4, pp. 241–56, Dec. 2016.
   Google Scholar
• S. M. Abd-Elazim, and E. S. Ali, “Load frequency controller design via BAT algorithm for nonlinear interconnected power system,” Int. J. Electr. Power Energy Syst., Vol. 77, pp. 166–77, May 2016. doi: 10.1016/j.ijepes.2015.11.029
   Web of Science ®Google Scholar
• A. Y. Abd-Elaziz, and E. S. Ali, “Cuckoo search algorithm-based load frequency controller design for nonlinear interconnected power system,” Int. J. Electr. Power Energy Syst., Vol. 73, pp. 632–43, Dec. 2015. doi: 10.1016/j.ijepes.2015.05.050
   Web of Science ®Google Scholar
• R. K. Khadanga, and A. Kumar, “Hybrid adaptive ‘gbest’-guided gravitational search and pattern search algorithm for automatic generation control of multi-area power system,” IET Gener. Transm. Distrib., Vol. 11, no. 13, pp. 3257–67, Oct. 2017. doi: 10.1049/iet-gtd.2016.1542
   Web of Science ®Google Scholar
• H. Bevrani, F. Habibi, P. Babahajyani, M. Watanabe, and Y. Mitani, “Intelligent frequency control in an AC microgrid: online PSO-based fuzzy tuning approach,” IEEE Trans. Smart Grid, Vol. 3, no. 4, pp. 1935–44, Dec. 2012. doi: 10.1109/TSG.2012.2196806
   Web of Science ®Google Scholar
• D. C. Das, A. K. Roy, and N. Sinha, “GA based frequency controller for solar thermal-diesel-wind hybrid energy generation/energy storage system,” Int. J. Electr. Power Energy Syst., Vol. 43, no. 1, pp. 262–79, Dec. 2012. doi: 10.1016/j.ijepes.2012.05.025
   Web of Science ®Google Scholar
• I. Hussain, D. C. Das, and N. Sinha, “Reactive power performance analysis of dish-stirling solar thermal-diesel hybrid energy system,” IET Renew. Power Gener., Vol. 11, no. 6, pp. 750–62, May 2017. doi: 10.1049/iet-rpg.2016.0579
   Web of Science ®Google Scholar
• V. P. Singh, S. R. Mohanty, N. Kishor, and P. K. Ray, “Robust H-infinity load frequency control in hybrid distributed generation system,” Int. J. Electr. Power Energy Syst., Vol. 46, pp. 294–305, Mar. 2013. doi: 10.1016/j.ijepes.2012.10.015
   Web of Science ®Google Scholar
• H. Bevrani, M. R. Feizi, and S. Ataee, “Robust frequency control in an islanded microgrid: H and -Synthesis Approaches,” IEEE Trans. Smart Grid, Vol. 7, no. 2, pp. 706–17, Mar. 2016.
   Web of Science ®Google Scholar
• I. Bendato, A. Bonfiglio, M. Brignone, F. Delfino, F. Pampararo, and R. Procopio, “A real-time energy management system for the integration of economical aspects and system operator requirements: definition and validation,” Renewable Energy, Vol. 102, pp. 406–16, Mar. 2017. doi: 10.1016/j.renene.2016.10.061
   Web of Science ®Google Scholar
• I. Pan, and S. Das, “Kriging based surrogate modeling for fractional order control of microgrids,” IEEE Trans. Smart Grid, Vol. 6, no. 1, pp. 36–44, Jan 2015. doi: 10.1109/TSG.2014.2336771
   Web of Science ®Google Scholar
• I. Pan, and S. Das, “Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO,” ISA Trans., Vol. 62, pp. 19–29, May 2016. doi: 10.1016/j.isatra.2015.03.003
   PubMed Web of Science ®Google Scholar
• A. K. Barik, and D. C. Das, “Coordinated regulation of voltage and load frequency in demand response supported biorenewable cogeneration-based isolated hybrid microgrid with quasi-oppositional selfish herd optimization,” Int. Trans. Electr. Energy Syst., e12176, 2019. doi:10.1002/2050-7038.12176.
   Web of Science ®Google Scholar
• A. K. Barik, and D. C. Das, “Proficient load-frequency regulation of demand response supported bio-renewable cogeneration based hybrid microgrids with quasi-oppositional selfish-herd optimization,” IET Gener. Transm. Distrib., Vol. 13, no. 13, pp. 2889–98, Jul. 2019. doi: 10.1049/iet-gtd.2019.0166
   Web of Science ®Google Scholar
• I. Pan, and S. Das, “Fractional-order load-frequency control of interconnected power systems using chaotic multi-objective optimization,” Appl. Soft. Comput., Vol. 29, pp. 328–44, Apr. 2015. doi: 10.1016/j.asoc.2014.12.032
   Web of Science ®Google Scholar
• G. Zeng, X. Xie, M. Chen, and J. Weng, “Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems,” Swarm. Evol. Comput., Vol. 44, pp. 320–34, 2019. doi: 10.1016/j.swevo.2018.04.008
   Web of Science ®Google Scholar
• K. Lu, W. Zhou, G. Zeng, and Y. Zheng, “Constrained population extremal optimization-based robust load frequency control of multi-area interconnected power system,” Int. J. Electr. Power Energy Syst., Vol. 105, pp. 249–71, 2019. doi: 10.1016/j.ijepes.2018.08.043
   Web of Science ®Google Scholar
• G. Zeng, J. Chen, Y. Dai, L. Li, C. Zheng, and M. Chen, “Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization,” Neurocomputing, Vol. 160, pp. 173–84, 2015. doi: 10.1016/j.neucom.2015.02.051
   Web of Science ®Google Scholar
• A. Ketabi, S. S. Rajamand, and M. Shahidehpour, “Power sharing in parallel inverters with different types of loads,” IET Gener. Transm. Distrib., Vol. 11, no. 10, pp. 2438–47, Jul. 2017. doi: 10.1049/iet-gtd.2016.0570
   Web of Science ®Google Scholar
• S. Rajamand, A. Ketabi, and A. Zahedi, “A new LVRT strategy for DGs with different droop gains in islanded microgrid with various loads,” EPE J., Vol. 28, no. 3, pp. 116–27, Mar. 2018. doi: 10.1080/09398368.2018.1449443
   Web of Science ®Google Scholar
• Y. Zhang, S. Wang, and G. Ji, “A comprehensive survey on particle swarm optimization algorithm and its applications,” Math. Probl. Eng., Vol. 2015, pp. 38, 2015, Article ID 931256. doi:10.1155/2015/931256.
   Web of Science ®Google Scholar
• D. C. Meena, and A. Devanshu, “Genetic algorithm tuned PID controller for process control,” in International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2017, pp. 1–6. doi:10.1109/ICISC.2017.8068639.
   Google Scholar
• E. Atashpaz-Gargari, and C. Lucas, “Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition,” in 2007 IEEE Congress on Evolutionary Computation, Singapore, 2007, pp. 4661–7. doi: 10.1109/CEC.2007.4425083
   Google Scholar
• A. Yimit, K. ligura, and Y. Hagihara, “Refined selfish herd optimizer for global optimization problems,” Expert Syst. Appl., Vol. 139, Jan. 2020. doi:10.1016/j.eswa.2019.112838.
   Web of Science ®Google Scholar
• K. Ogata. Modern control engineering. 3rd ed. New Jersey: Prentice Hall, 2005. pp. 141–59
   Google Scholar
• B. Kuo, and F. Golnaraghi. Automatic control systems. 7th ed. New York: Prentice Hall, 2002. pp. 398–401
   Google Scholar
• J. Derrac, S. García, D. Molina, and F. Herrera, “A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms,” Swarm Evol. Comput., Vol. 1, no. 1, pp. 3–18, 2011. doi: 10.1016/j.swevo.2011.02.002
   Web of Science ®Google Scholar