Abstract
AbstractThe paper presents the design and optimization of a fractional-order proportional integral (FOPI) controller for frequency control (FC) of a microgrid (MG) interconnecting wind, solar, and diesel-based power generation sources and a battery energy storage system (BESS). The main advantage of a FOPI controller over an integer order (IO) or classical controller is that a FOPI controller allows precise control of the phase of the input error signal in such a way that better and precise desired controller output is obtained. In this work, the value of the FO λ and controller gains has been optimized using genetic algorithm (GA)-based optimization technique. The frequency deviation of the MG using a FOPI controller has been compared with the classical IO controllers such as integral (I), PI, and PIDN controllers for both constant and random step load perturbation. Moreover, the robustness of the proposed GA–optimized FOPI controllers has been examined against random variation in wind speed and solar radiation.KeywordsFOPIFractional-order controllerGenetic algorithmMicrogridRenewable energy
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