Fruit Fly Algorithm Optimised Degree of Freedom Controller for the Dynamical Stability of the Renewable Energy Penetrated Multi Area Power System

Abstract

The stability and maintenance of the renewable energy penetrated multi-area power system (REPMAPS) are so complex. To ensure the optimal functioning of the complex interconnected power system (IPS), an automatic controller is necessary for the proper load frequency control (LFC) actions. For this, a three-degree-of-freedom proportional-integral-derivative (3DOFPID) controller is suggested in this work for simultaneous frequency regulation. However, the parameters of the 3DOFPID controller are to be ascertained using soft computing algorithms to obtain better performance. The fruit fly algorithm (FFA) is implemented in this paper for the fine-tuning of the 3DOFPID controller, and the efficacy of the FFA is demonstrated with other algorithms in the literature. Besides, the analysis of REPMAPS is deliberated with communication time delays (CTDs) as the practical constraint, and their effect on the system’s dynamic performance is showcased. Further, the REPMAPS is operated with the territory strategy of capacitive energy storage (CES) and the static synchronous series compensator (SSSC) to improve the system performance. The simulation study confirmed the enhancement in REPMAPS performance with the CES-SSSC strategy.