• Bhatti, H. J., & Danilovic, M. (2018). Making the world more sustainable: enabling localized energy generation and distribution on decentralized smart grid systems. World Journal of Engineering and Technology, 06(02), 350–382.

    Article 

    Google Scholar
     

  • Khatibi, M., & Ahmed, S. (2019). Impact of distributed energy resources on frequency regulation of the bulk power system. In IEEE conference on power electronics and renewable energy, CPERE 2019 (pp. 258–263).

  • Mele, F. M., Ortega, Á., Zárate-Miñano, R., & Milano, F. (2016). Impact of variability, uncertainty and frequency regulation on power system frequency distribution. In 19th power systems computation conference, PSCC 2016.

  • Gorripotu, T. S., & Pilla, R. (2019). Black hole optimised cascade proportional derivative-proportional integral derivative controller for frequency regulation in hybrid distributed power system. International Journal of Swarm Intelligence, 4(2), 155.

    Article 

    Google Scholar
     

  • Khamari, D., Sahu, R. K., & Panda, S. (2020). Adaptive differential evolution based PDF plus (1+PI) controller for frequency regulation of the distributed power generation system with electric vehicle. International Journal of Ambient Energy.

  • Kumar Khadanga, R., Kumar, A., & Panda, S. (2021). Frequency control in hybrid distributed power systems via type-2 fuzzy PID controller. IET Renewable Power Generation, 15(8), 1706–1723.

    Article 

    Google Scholar
     

  • Khamari, D., Sahu, R. K., & Panda, S. (2020). A modified moth swarm algorithm-based hybrid fuzzy PD–PI controller for frequency regulation of distributed power generation system with electric vehicle. Journal of Control, Automation and Electrical Systems, 31(3), 675–692.

    Article 

    Google Scholar
     

  • Asgari, S., Suratgar, A. A., & Kazemi, M. G. (2021) Feedforward fractional order PID load frequency control of microgrid using harmony search algorithm. Iranian Journal of Science and Technology – Transactions of Electrical Engineering (pp. 1–13).

  • Khokhar, B., Dahiya, S., & Parmar, K. P. S. (2021). A novel hybrid fuzzy PD-TID controller for load frequency control of a standalone microgrid. Arabian Journal for Science and Engineering, 46(2), 1053–1065.

    Article 

    Google Scholar
     

  • Gorripotu, T. S., Kumar, D. V., Boddepalli, M. K., & Ramana, P. (2018). Design and analysis of BFOA optimised PID controller with derivative filter for frequency regulation in distributed generation system. International Journal of Automation and Control, 12(2), 291–323.

    Article 

    Google Scholar
     

  • Wen, G., Hu, G., Hu, J., Shi, X., & Chen, G. (2016). Frequency regulation of source-grid-load systems: A compound control strategy. IEEE Trans. Ind. Informatics, 12(1), 69–78.


    Google Scholar
     

  • Akram, U., Nadarajah, M., Shah, R., & Milano, F. (2020). A review on rapid responsive energy storage technologies for frequency regulation in modern power systems. Renewable and Sustainable Energy Reviews, 120, 109626.

    Article 

    Google Scholar
     

  • Zhang, S., Mishra, Y., & Shahidehpour, M. (2017). Utilizing distributed energy resources to support frequency regulation services. Applied Energy, 206, 1484–1494.

    Article 

    Google Scholar
     

  • Banki, T., Faghihi, F., & Soleymani, S. (2020). Frequency control of an island microgrid using reset control method in the presence of renewable sources and parametric uncertainty. Systems Science & Control Engineering, 8(1), 500–507.

    Article 

    Google Scholar
     

  • Khokhar, B., Dahiya, S., & Singh Parmar, K. P. (2020). A robust cascade controller for load frequency control of a standalone microgrid incorporating electric vehicles. Electric Power Components and Systems, 48(6–7), 711–726.

    Article 

    Google Scholar
     

  • Annamraju, A., & Nandiraju, S. (2019). Robust frequency control in a renewable penetrated power system: An adaptive fractional order-fuzzy approach. Protection and Control of Modern Power Systems, 4(1), 1–15.

    Article 

    Google Scholar
     

  • Rajamand, S. (2021). Load frequency control and dynamic response improvement using energy storage and modeling of uncertainty in renewable distributed generators. Journal of Energy Storage, 37, 102467.

    Article 

    Google Scholar
     

  • Hassanzadeh, M. E., Nayeripour, M., Hasanvand, S., & Waffenschmidt, E. (2020). Decentralized control strategy to improve dynamic performance of micro-grid and reduce regional interactions using BESS in the presence of renewable energy resources. Journal of Energy Storage, 31, 101520.

    Article 

    Google Scholar
     

  • Marzebali, M. H., Mazidi, M., & Mohiti, M. (2020). An adaptive droop-based control strategy for fuel cell-battery hybrid energy storage system to support primary frequency in stand-alone microgrids. Journal of Energy Storage, 27, 101127.

    Article 

    Google Scholar
     

  • Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey Wolf Optimizer. Advances in Engineering Software, 69, 46–61.

    Article 

    Google Scholar
     

  • Qais, M. H., Hasanien, H. M., & Alghuwainem, S. (2018). A Grey Wolf optimizer for optimum parameters of multiple PI controllers of a grid-connected PMSG driven by variable speed wind turbine. IEEE Access, 6, 44120–44128.

    Article 

    Google Scholar
     

  • Srinivasarathnam, C., Yammani, C., & Maheswarapu, S. (2019). Load frequency control of multi-microgrid system considering renewable energy sources using Grey Wolf optimization. Smart Science, 7(3), 198–217.

    Article 

    Google Scholar
     

  • Annamraju, A., & Nandiraju, S. (2018) Robust frequency control in an autonomous microgrid: a two-stage adaptive fuzzy approach. Electric Power Components and Systems, 1–12.

  • Padhy, S., & Panda, S. (2021). Application of a simplified Grey Wolf optimization technique for adaptive fuzzy PID controller design for frequency regulation of a distributed power generation system. Protection and Control of Modern Power Systems, 6(1), 1–16.

    Article 

    Google Scholar
     

  • Zhang, Y., & Wei, W. (2020). Decentralised coordination control strategy of the PV generator, storage battery and hydrogen production unit in islanded AC microgrid. IET Renewable Power Generation, 14(6), 1053–1062.

    Article 

    Google Scholar
     

  • AL-bonsrulah, H. A. Z., et al. (2021). Design and simulation studies of hybrid power systems based on photovoltaic, wind, electrolyzer, and PEM fuel cells. Energies, 14(9), 2643.

    Article 

    Google Scholar
     

  • Pan, I., & Das, S. (2016). Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO. ISA Transactions, 62, 19–29.

    Article 

    Google Scholar
     

  • Ferahtia, S., Djerioui, A., Zeghlache, S., & Houari, A. (2020). A hybrid power system based on fuel cell, photovoltaic source and supercapacitor. SN Applied Sciences, 2(5), 1–11.

    Article 

    Google Scholar
     

  • Ferahtia, S., et al. (2021). Optimal adaptive gain LQR-based energy management strategy for battery-supercapacitor hybrid power system. Energies, 14(6), 1660.

    Article 

    Google Scholar
     

  • Zhang, X. S., Yu, T., Pan, Z. N., Yang, B., & Bao, T. (2018). Lifelong learning for complementary generation control of interconnected power grids with high-penetration renewables and EVs. IEEE Transactions on Power Systems, 33(4), 4097–4110.

    Article 

    Google Scholar
     

  • Zhang, X., Tan, T., Zhou, B., Yu, T., Yang, B., & Huang, X. (2021). Adaptive distributed auction-based algorithm for optimal mileage based AGC dispatch with high participation of renewable energy. International Journal of Electrical Power & Energy Systems, 124, 106371.

    Article 

    Google Scholar
     

  • Li, Q., Li, R., Pu, Y., Li, S., Sun, C., & Chen, W. (2021). Coordinated control of electric-hydrogen hybrid energy storage for multi-microgrid with fuel cell/ electrolyzer/ PV/ battery. J. Energy Storage, 42, 103110.

    Article 

    Google Scholar
     

  • Kbidi, F., Damour, C., Grondin, D., Hilairet, M., & Benne, M. (2019). Optimal fuel cell and electrolyser Energy Management System for microgrid. In IECON proceedings (industrial electronics conference), (Vol. 2019-Octob, pp. 2197–2202).

  • Zhang, Y., & Wei, W. (2020). Model construction and energy management system of lithium battery, PV generator, hydrogen production unit and fuel cell in islanded AC microgrid. International Journal of Hydrogen Energy, 45(33), 16381–16397.

    Article 

    Google Scholar
     

  • Mandal, R., & Chatterjee, K. (2020). Frequency control and sensitivity analysis of an isolated microgrid incorporating fuel cell and diverse distributed energy sources. International Journal of Hydrogen Energy, 45(23), 13009–13024.

    Article 

    Google Scholar
     

  • Zhang, Y., & Wei, W. (2020). Decentralized coordination control of PV generators, storage battery, hydrogen production unit and fuel cell in islanded DC microgrid. International Journal of Hydrogen Energy, 45(15), 8243–8256.

    Article 

    Google Scholar
     

  • Bornapour, M., Hooshmand, R. A., Khodabakhshian, A., & Parastegari, M. (2017). Optimal stochastic coordinated scheduling of proton exchange membrane fuel cell-combined heat and power, wind and photovoltaic units in micro grids considering hydrogen storage. Applied Energy, 202, 308–322.

    Article 

    Google Scholar
     

  • Pan, I., & Das, S. (2016). Fractional order AGC for distributed energy resources using robust optimization. IEEE Transactions on Smart Grid, 7(5), 2175–2186.

    Article 

    Google Scholar
     

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