[1]陈增强,黄朝阳,孙明玮,等.基于大变异遗传算法进行参数优化整定的负荷频率自抗扰控制[J].智能系统学报,2020,15(1):41-49.[doi:10.11992/tis.201906026]
CHEN Zengqiang,HUANG Zhaoyang,SUN Mingwei,et al.Active disturbance rejection control of load frequency based on big probability variation’s genetic algorithm for parameter optimization[J].CAAI Transactions on Intelligent Systems,2020,15(1):41-49.[doi:10.11992/tis.201906026]
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CHEN Zengqiang,HUANG Zhaoyang,SUN Mingwei,et al.Active disturbance rejection control of load frequency based on big probability variation’s genetic algorithm for parameter optimization[J].CAAI Transactions on Intelligent Systems,2020,15(1):41-49.[doi:10.11992/tis.201906026]
基于大变异遗传算法进行参数优化整定的负荷频率自抗扰控制
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
15
期数:
2020年第1期
页码:
41-49
栏目:
学术论文—智能系统
出版日期:
2020-01-05
- Title:
- Active disturbance rejection control of load frequency based on big probability variation’s genetic algorithm for parameter optimization
- Keywords:
- active disturbance rejection control; load frequency control; big probability variation’s genetic algorithm; two-area interconnected power system; turbine; generation rate constraint; governor’s dead zone; nonlinear; non-minimum phase characteristics
- 分类号:
- TP272
- 摘要:
- 本文将自抗扰控制(active disturbance rejection control，ADRC)应用到两区域互联电力系统的负荷频率控制(load frequency control，LFC)中，从具有非再热式汽轮机机组的电力系统模型推广到具有水轮机机组的以及考虑发电速率约束和调速器死区的再热式汽轮机组的电力系统模型，涉及线性、非线性和非最小相位特性3种控制对象，并使用大变异遗传算法对控制器的参数进行整定，与基于大变异遗传算法的PI控制进行仿真比较研究，仿真表明本文所提基于大变异遗传算法的负荷频率自抗扰控制动态响应快、偏差小、鲁棒性好、抗干扰能力强，对于LFC系统更为有效。
- Abstract:
- In this paper, the active disturbance rejection control (ADRC) is applied to the load frequency control (LFC) of the two-zone interconnected power system, which is extended from a power system model with non-reheating steam turbines to other models, one with turbines, and another consists of reheating turbines with consideration of power generation rate constraints and governor dead zones, involving three control objects of linear, nonlinear and non-minimum phase characteristics. The model is used to adjust the parameters of the controller utilizing the big probability variation’s genetic algorithm. The simulation is compared with the PI control based on the big probability variation’s genetic algorithm. The simulation shows that ADRC based on big probability variation’s genetic algorithm possesses fast dynamic response, small deviation, good robustness, strong anti-interference characteristics, which is more effective for the LFC system.
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备注/Memo
收稿日期:2019-06-14。
基金项目:国家自然科学基金项目（61973175，61573197，61973172）
作者简介:陈增强，教授，博士生导师，主要研究方向为智能控制、预测控制、自抗扰控制。曾获得天津市自然科学二等奖。发表学术论文200余篇;黄朝阳，硕士研究生，主要研究方向为自抗扰控制、智能控制、预测控制;孙明玮，教授，主要研究方向为飞行器制导与控制、自抗扰控制。曾获得国防科工委科技进步二等奖
通讯作者:陈增强.E-mail:chenzq@nankai.edu.cn
更新日期/Last Update:
1900-01-01