Paper Info
Title
Optimal Design Of Load Frequency Active Disturbance Rejection Control Via Double-Chains Quantum Genetic Algorithm
Abstract
This paper tackles the design of active disturbance rejection controllers (ADRC) for load frequency control (LFC) of multi-area interconnected power systems. For the first time, the double-chains quantum genetic algorithm plays a role in tuning optimization of the parameters for ADRC. Not only is the proposed approach applied to the two-area reheat thermal power system, but it is also elongated to two-interconnected multi-source areas comprising thermal, hydro and gas units, two-area nonlinear non-reheat thermal power system with governor dead band in addition to three-area nonlinear reheat thermal power system with generation rate constraints. Comparison with other modern heuristic optimization strategies recently published proves the effectiveness and superiority of this method. The simulation results show that this robust approach can greatly shorten the stabilization time of the power system and meet the requirements of LFC with minimum transient deviation as well as steady-state performance indicators, which is worthy of application and promotion.
Year
DOI
Venue
2021
10.1007/s00521-020-05199-6
NEURAL COMPUTING & APPLICATIONS
Keywords
DocType
Volume
Load frequency control, Active disturbance rejection control, Double-chains quantum genetic algorithm
Journal
33
Issue
ISSN
Citations 
8
0941-0643
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Zhaoyang Huang101.01
Zeng-Qiang Chen255072.38
Yuemin Zheng301.01
Mingwei Sun400.68
Qinglin Sun511.06