An Improved Whale Optimization Algorithm Based PIDF–(1+PI) Cascade Automatic Generation Control for Multi-Area Multi-Source Power System With Capacitive Energy Storage

Modern power system has complex composition structure and high stability operation requirements. While the emergence of various new energy sources uncertainty external disturbances bring a great challenge to Automatic Generation Control (AGC) system. In order improve robustness AGC facilitate practical engineering application, this paper proposes novel multistage Proportional Integral Derivative (PID) cascade automatic generation controller as well an improved more effective control parameter optimization algorithm. Firstly, two-area multi-unit multi-source hydro/thermal containing with capacitive storage unit is modeled. And using double closed-loops method, PID derivative Filter 1+Proportional (PIDF-(1+PI)) proposed. Secondly, by introducing nonlinear time-varying adaptive weight factor, Whale Optimization Algorithm (WOA-w) proposed accelerate convergence speed enhance solution accuracy. Then, based on integral time multiplied absolute error (ITAE) objective function, PIDF-(1+PI) parameters are optimized WOA-w. Finally, MATLAB/Simulink software used implement multi-case simulation. Compared other three strategies, multi-scenario cases simulation results verify correctness effectiveness strategy.