电工技术学报2018，Vol.33Issue(3)：478-489,12.DOI:10.19595/j.cnki.1000-6753.tces.161888
基于智能优化算法的互联电网负荷频率控制器设计及其控制性能分析
Intelligent Optimization Algorithm Based Load Frequency Controller Design and Its Control Performance Assessment in Interconnected Power Grids
左剑 1谢平平 1李银红 2段献忠1
作者信息
- 1. 强电磁工程与新技术国家重点实验室(华中科技大学电气与电子工程学院) 武汉 430074
- 2. 南方电网科学研究院 广州 510080
- 折叠
摘要
Abstract
Load frequency control (LFC) plays an important role in ensuring safe and reliable operation of the interconnected power grids.Appropriate controller parameter settings can maintain the system frequency stability and a constant tie line power exchange value under various random load disturbances.On the issue of tuning optimization of two-area interconnected power grid LFC controller parameters,this paper presents a controller parameter optimal design scheme based on intelligent optimization algorithm.The scheme adopted integral of time multiplied absolute error (ITAE) as the objective function and grey wolf optimizer (GWO) was employed for searching the optimal LFC controller parameters.GWO algorithm has the advantages of swiftness,efficiency,adaptivity and high accuracy during controller parameters optimization tuning process,because the algorithm imitates the features of leadership hierarchy and pack hunting behaviors of grey wolves.In addition,the possibility of controller performance degradation was also considered in this paper due to the parameter uncertainty of controller itself.And the fragility of the controller was investigated.First,a two-area interconnected power grid LFC control system simulation model was established;then,the proposed optimization algorithm was used to optimize the PI/PID type LFC controller parameters;finally,the simulation results validated that the proposed PI/PID design method has better optimization capability and control effectiveness in comparison to conventional design method and other intelligent optimization algorithms.And the optimized PI/PID controller can ensure robustness and non-fragility under system parameter uncertainty and the controller parameter uncertainty.关键词
灰狼优化算法/负荷频率控制/参数优化整定/非脆弱性/控制器性能评估Key words
Grey wolf optimizer(GWO)/load frequency control/parameter optimizing and tuning/non-fragility/controller performance assessment分类
信息技术与安全科学引用本文复制引用
左剑,谢平平,李银红,段献忠..基于智能优化算法的互联电网负荷频率控制器设计及其控制性能分析[J].电工技术学报,2018,33(3):478-489,12.
