Abstract
This chapter presents novel structured single-input interval type-2 fuzzy logic controllers (SI-IT2-FLCs) for the frequency damping of multi-microgrids (MMGs), whereas the application of electric vehicles (EVs) is considered in this context. For this purpose, a new SI-IT2-fuzzy PD/fuzzy PI (SI-IT2-FPD/FPI) controller is designed on two levels. Initially, an improved whale optimization algorithm, called IWOA, is adopted to adjust the setting of the gains embedded in the FPD/FPI section effectively. Then, the impact of the footprint of uncertainty (FOU), to offer extra design freedom, on control surface generation of SI-IT2-FLC has been investigated. In this way, various control surfaces were generated by varying a single coefficient which forms the FOU. Lastly, by adopting hardware-in-the-loop (HIL) simulator, the feasibility and usefulness of the suggested framework are verified from a real-time perspective.
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Gheisarnejad, M., Khooban, MH. (2021). Multi-microgrids with a Frequency Regulation-Based V2G Technology: Systems Analysis, Modeling, and Control. In: Rahmani-Andebili, M. (eds) Design, Control, and Operation of Microgrids in Smart Grids. Power Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-64631-8_1
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