Sunflower optimization algorithm-based optimal PI control for enhancing the performance of an autonomous operation of a microgrid

This paper presents a novel application of the sunflower optimization (SFO) algorithm to enhance the performance of the inverter based microgrid. The vector cascaded control method is used to control the inverter which relies on the proportional-integral (PI) controller. The main goal is to select the parameters of the PI controller using the SFO algorithm. The multi-objective function for this research is deduced from the response surface methodology (RSM). The simulation results are tested under three different operating states which are: 1) the system conversion from grid-connected to stand-alone mode, 2) changing the load during stand-alone mode, and 3) symmetrical fault during stand-alone mode. The results verify the flexibility, justification, and applicability of the presented SFO algorithm versus the particle swarm optimization (PSO). (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Ain Shams University.

Automated summary

This paper introduces a novel application of the SFO algorithm to optimize the performance of inverter-based microgrids by selecting PI controller parameters. The research utilizes the RSM method to establish a multi-objective function and conducts testing under various operating states. Results confirm the effectiveness and flexibility of the proposed SFO algorithm compared to PSO.