Voltage control of switched reluctance generator using grasshopper optimization algorithm

Abstract

This paper introduces a terminal voltage control approach of a Switched Reluctance Generator (SRG) based wind turbine generating systems. The control process is employed using a closed loop stimulated by the error between the reference voltage and the generator output voltage due to load and wind speed variation. This error feeds the tuned Proportional Integral controller (PI). The tuning by conventional analytical methods of the PI controller is difficult due to substantial non-linearity. A new strategy approach for evaluating optimum PI controller parameters of voltage control of SRG using the Grasshopper Optimization Algorithm (GOA) is addressed here. This approach is a simple and effective algorithm, capable of solving numerous optimization issues. The simple algorithm ensures that the optimum PI controller parameters are optimized with great quality. The performance of the proposed GOA-PI controller is achieved by using the integral of time weighted squared error (ITSE). The effectiveness of the proposed strategy is tested with the three-phase 12/8 structure SRG. Outcomes indicate the supremacy of GOA over Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO) in terms of control performance measures.