Load frequency control of multi area power system network with soft computing algorithm based controller and coordinated strategy of TCSC and battery energy storage

Abstract

This work proposes the possible implementation of a water cycle algorithm (WCA) optimized controller of tilt-integral derivative plus filter (TIDF) for the load frequency control (LFC) of a multi-area multi-fuel (MAMF) interconnected power system network (IPSN). The MAMF network has two areas, and the dynamic analysis of the IPSN is assessed pertaining to the step load perturbation (SLP) of 10% in area 1. However, the performance efficacy of the TIDF is demonstrated and validated with other recent control techniques reported in the literature. The IPSN is considered with the communication time delays (CTDs) as the realistic constraint, and their subsequent impact on the LFC performance is demonstrated and vindicated. Further, the IPSN model of the MAMF system is enacted with the battery energy storage (BES) in areas 1 and 2, and the thyristor-controlled series compensator (TCSC) with the tie-line as the territory regulator. Simulation results showcased that there will be an improvement in the LFC of MAMF system performance with the employment of a territory control scheme.