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 and the uncertainty of external disturbances bring a great challenge to the Automatic Generation Control (AGC) of power system. In order to improve the r...

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Bibliographic Details
Published in:IEEE access 2023-01, Vol.11, p.1-1
Main Authors: Mao, Jingfeng, Liu, Runda, Wu, Aihua, Wu, Shang, He, Jianjun
Format: Article
Language:English
Subjects:
Algorithms
Automatic control
Automatic generation control
capacitive energy storage
cascade control
Closed loops
Control methods
Control systems
Controllers
Convergence
Energy storage
hydro thermal system
Optimization
Optimization algorithms
Parameters
Perturbation methods
Power system stability
Power systems
Proportional integral derivative
Storage units
Structural stability
whale optimization algorithm
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Summary:Modern power system has complex composition structure and high stability operation requirements. While the emergence of various new energy sources and the uncertainty of external disturbances bring a great challenge to the Automatic Generation Control (AGC) of power system. In order to improve the robustness of the AGC and facilitate the practical engineering application, this paper proposes a novel structure multistage Proportional Integral Derivative (PID) cascade automatic generation controller as well as an improved more effective control parameter optimization algorithm. Firstly, a two-area multi-unit multi-source hydro/thermal power system containing with capacitive energy storage unit is modeled. And using double closed-loops control method, a PID controller with derivative Filter and 1+Proportional Integral unit (PIDF-(1+PI)) cascade automatic generation controller is proposed. Secondly, by introducing a nonlinear time-varying adaptive weight factor, an improved Whale Optimization Algorithm (WOA-w) is proposed to accelerate the convergence speed and enhance the solution accuracy. Then, based on the integral of time multiplied absolute error (ITAE) objective function, the proposed PIDF-(1+PI) controller parameters are optimized by WOA-w. Finally, MATLAB/Simulink software is used to implement the control system multi-case simulation. Compared with other three control strategies, the multi-scenario cases simulation results verify the correctness and effectiveness of the proposed control strategy.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3250558