Wind Driven Optimization Algorithm Application to Load Frequency Control in Interconnected Power Systems Considering GRC and GDB Nonlinearities

Due to the great importance of the performance of load frequency controllers in power systems, a lot of effort have been performed to improve the performance of these controllers by fine tuning them. Evolutionary algorithms are the most popular techniques used to optimally tune the controllers. In this article, wind driven optimization (WDO) algorithm which is a newly developed evolutionary algorithm is used for tuning load frequency controllers. Based on simulation studies, the impact of different objective functions on the performance of the evolutionary algorithms in tuning the controllers is investigated. Also, using simulation studies carried out in a three areas interconnected power system, the effectiveness of the proposed optimization algorithm in comparison to other newly proposed evolutionary algorithms is demonstrated. Furthermore, the robustness of the proposed method in case of power system parameters and configuration variations is confirmed.