基于改进模糊控制的发电系统频率调节研究

鲁尔洁; 陈峦; 李坚; 姚亮; 郑彬; 莫槟滔

引用本文:	鲁尔洁,陈峦,李坚,等.基于改进模糊控制的发电系统频率调节研究[J].电力系统保护与控制,2017,45(8):46-52.
	LU Erjie,CHEN Luan,LI Jian,et al.Research on power system frequencyregulation based on improved fuzzy control[J].Power System Protection and Control,2017,45(8):46-52

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基于改进模糊控制的发电系统频率调节研究
鲁尔洁¹,陈峦¹,李坚¹,姚亮¹,郑彬²,莫槟滔¹
(1.电子科技大学能源科学与工程学院，四川成都 611731;2.国网四川省电力公司天府新区供电公司，四川成都 610041)

摘要:

在传统的电网频率控制系统中，常采用PI控制方式进行频率的调节，但存在调节时间较长、超调量较大等缺点，引入模糊控制理论对其进行改进。以常规发电机组为研究对象，为了提高频率调节性能，设计出具有模糊PID复合结构的控制器，根据频率偏移的幅度自适应调节其控制参数。通过在Simulink中搭建水-火多机组仿真模型，加入模糊PID控制器进行改进，对该系统频率调节进行仿真实验分析。仿真结果及数据分析验证了该方案的可行性，与传统的频率调节相比，改进模糊控制的发电系统提高了频率调节的动态响应，减小了稳态误差。

关键词: 电网频率 PI控制频率调节模糊PID控制仿真模型

DOI：10.7667/PSPC160504

分类号:

基金项目:国家自然科学基金(61304177);四川省教育厅科研项目(15ZB0345)

Research on power system frequencyregulation based on improved fuzzy control

LU Erjie¹,CHEN Luan¹,LI Jian¹,YAO Liang¹,ZHENG Bin²,MO Bintao¹

(1. School of Energy Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;2. Electric Power Company of Sichuan Province Tianfu Power Supply Company, State Grid Corporation of China, Chengdu 610041, China)

Abstract:

In the traditional power grid frequency control system, PI control is often adopted to adjust the frequency, while it causes some problems such as long settling time and over-shoot, so the fuzzy control theory is introduced. Taking conventional generator as the research object, to improve frequency regulatory performance, a composite structure controller of the fuzzy PID is designed which can adjust the parameters of the PID controller by itself according to the range of the frequency offset. The models of water and fire units are built in Simulink and fuzzy PID controller is joined to improve the system frequency regulation and make simulations. The result of the simulations and data analysis verify the feasibility of the plan, compared with the traditional frequency control, the fuzzy PID controller can improve the dynamic response and reduce error of the system. This work is supported by National Natural Science Foundation of China (No. 61304177) and Scientific Research of Sichuan Education Department (No. 15ZB0345).

Key words: grid frequency PI control frequency regulation fuzzy PID control simulation model

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