Analysis of Multi- Area Power System Robust Load Frequency Control

Abstract

This article presents, in recent times developed, novel and effectual meta-heuristic optimization technique called Black Widow Optimization Algorithm (BWO) to optimize automatic generation control (AGC) or load frequency control (LFC) for multi-area interconnected power system. Recently developed BWO, algorithm is a powerful method for solving continuous nonlinear optimization problems. In order to validate the proposed method, three area reheated thermal power system are considered and separately optimal BWO-PIDF is designed for each area by using integral of square of absolute error (ISAE) based fitness function. The validity of proposed method is tangibly verified by comparing its simulation results with those of Gravitational search algorithm (GSA), Particle Swarm Optimization (PSO) and other approaches available in the literature (Jalali, Razmi, & Doagou-Mojarrad, 2020). Then, physical constraints such as Governor Dead Band (GDB) and Generation Rate Constraint (GRC)are included in the system model. Finally, to show the robustness of the designed controller, sensitivity analysis is performed under different uncertainty conditions, the performance of the proposed method is superior than conventional and state-of-art methods with comparative analysis