A novel robust automatic generation control in interconnected multi-area power system based on bat inspired algorithm

This paper deals with the design of a new robust controller to solve automatic generation control (AGC) problems in interconnected multi-area power system using the meta-heuristic Bat Inspired Algorithm (BA). The novel design approach based on Bat algorithm is proposed to reach the optimal values of the Proportional-Integral-Derivation (PID) controller parameters in order to improve the load frequency control (LFC) and automatic voltage regulator (AVR). The three equal area thermal interconnected power system is considered for the simulation. The superiority of the proposed approach is demonstrated by comparing the results with some recently published techniques such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Bacteria Foraging Optimization (BFO), Artificial Bee Colony (ABC) and Ziegler-Nichols based PID controller for the same interconnected power system. Robustness analysis is carried out by varying the step load disturbance in each area, to demonstrate the capability of the proposed Bat Inspired Algorithm (BA) to solve AGC problems (LFC / AVR) and optimized PID controller.