Load Frequency Active Disturbance Rejection Control Based on Improved Particle Swarm Optimization

Author:

Wang Jidong1,Sun Yu1

Affiliation:

1. School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China

Abstract

A load frequency control (LFC) system based on active disturbance rejection control (ADRC) is designed to solve the problem of frequency modulation caused by large-scale renewable energy grid connection. Traditional parameter-tuning methods are inefficient and often fail to achieve desired control outcomes. To overcome this, an improved Particle Swarm Optimization (PSO) algorithm is introduced, incorporating Levy flight and chaotic mapping. This enhanced algorithm combines the long step–length search capability of Levy flight with the rapid exploration of initial solution space using Tent chaotic mapping, enhancing PSO’s global search ability and addressing premature convergence issues. Simulation results demonstrate that the ADRC controller optimized by the improved algorithm exhibits greater robustness and smaller deviation compared to the original algorithm, showcasing its excellent control performance.

Publisher

MDPI AG

Reference24 articles.

1. Overview of power quality control technology;Zhu;Power Syst. Autom.,2002

2. Bevrani, H. (2014). Robust Power System Frequency Control, Springer.

3. Research status and prospects of automatic power generation control in the context of large-scale renewable energy access;Hu;Power Syst. Autom.,2018

4. Optimum megawatt-frequency control of multiarea electric energy systems;Elgerd;IEEE Trans. Power Appar. Syst.,1970

5. Evaluation of power system operation flexibility for large-scale wind power grid integration;Li;Power Grid Technol.,2015

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