Paper Info
Title
A Novel Chaotic Fractional-Order Beetle Swarm Optimization Algorithm and Its Application for Load-Frequency Active Disturbance Rejection Control
Abstract
This brief proposes a novel chaotic fractional-order beetle swarm optimization (CFBSO) algorithm that combines chaos concepts and a fractional derivative structure with the beetle swarm algorithm. The proposed CFBSO was compared with other advanced meta-heuristic algorithms on 23 benchmark functions with single-peak, multi-peak, and fixed-dimensional multi-peak optimization problems, and the effectiveness and superiority of the proposed algorithm were verified. The proposed CFBSO was then used to optimize the parameters of the active disturbance rejection controller (ADRC). The CFBSO-based ADRC was further applied for the load frequency control (LFC) system of a four-area interconnected power system consisting of a hydraulic turbine with a non-minimum phase (NMP) and three reheat turbines. The results showed that the proposed method had a smaller undershoot and shorter settling time than those obtained by a linear ADRC and a proportional-integral-derivative controller. Thus, it can meet the high-performance requirements of LFC.
Year
DOI
Venue
2022
10.1109/TCSII.2021.3100853
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Keywords
DocType
Volume
Optimization, Statistics, Sociology, Particle swarm optimization, Benchmark testing, Sun, Circuits and systems, Chaotic fractional-order beetle swarm optimization, active disturbance rejection control, beetle swarm optimization, four-area interconnected power system, load frequency control
Journal
69
Issue
ISSN
Citations 
3
1549-7747
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Yuemin Zheng100.68
Zhaoyang Huang201.01
Jin Tao300.68
Hao Sun400.34
Qinglin Sun533.77
Mingwei Sun624.79
Matthias Dehmer7863104.05
Zeng-Qiang Chen855072.38