| 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 |
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| 引用本文： | 陈增强,,黄朝阳,孙明玮,孙青林.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. |
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| 作者姓名： | 陈增强 黄朝阳 孙明玮 孙青林 |
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| 作者单位： | 1. 南开大学 人工智能学院, 天津 300350;2. 天津市智能机器人重点实验室, 天津 300350 |
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| 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。
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| 关 键 词： | 自抗扰控制 负荷频率控制 大变异遗传算法 两区域互联电力系统 水轮机 发电速率约束 调速器死区 非线性 非最小相位特性 |
Active disturbance rejection control of load frequency based on big probability variation’s genetic algorithm for parameter optimization |
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| CHEN Zengqiang,,HUANG Zhaoyang,SUN Mingwei,SUN Qinglin.Active disturbance rejection control of load frequency based on big probability variation’s genetic algorithm for parameter optimization[J].CAAL Transactions on Intelligent Systems,2020,15(1):41-49. |
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| Authors: | CHEN Zengqiang HUANG Zhaoyang SUN Mingwei SUN Qinglin |
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| Affiliation: | 1. College of Artificial Intelligence, Nankai University, Tianjin 300350, China;2. Key Laboratory of Intelligent Robotics of Tianjin, Tianjin 300350, China |
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| 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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| 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 |
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