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浙江大学学报(工学版)
浙江大学学报(工学版)  2023, Vol. 57 Issue (7): 1460-1469    DOI: 10.3785/j.issn.1008-973X.2023.07.021
电气工程     
基于动态量化的电力系统事件触发负荷频率控制
丁三波1(),张康1,杨飞生2,张家安3
1. 河北工业大学 人工智能与数据科学学院，天津 300401
2. 西北工业大学 自动化学院，陕西 西安 710072
3. 河北工业大学 电气工程学院，天津 300401
Event-triggered load frequency control for power system based on dynamic quantization
San-bo DING1(),Kang ZHANG1,Fei-sheng YANG2,Jia-an ZHANG3
1. College of Artificial Intelligence and Data Science, Hebei University of Technology, Tianjin 300401, China
2. School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
3. College of Electrical Engineering, Hebei University of Technology, Tianjin 300401, China
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摘要：

针对新能源高比例并网以及由此产生的二次调频通信负荷增加问题，为了节约网络资源，将动态量化技术引入网络控制的电力系统中，应用事件触发负荷频率控制(LFC)方法，通过基于观测器的输出反馈控制器，实现了LFC系统输入到状态稳定. 根据系统状态和动态量化参数，在反馈通道中设计加入指数衰减项的事件触发机制，在前向通道中设计加入状态模拟项的事件触发机制. 建立基于量化控制的事件触发LFC系统动态模型，在有界负荷扰动下得到闭环系统输入到状态稳定的条件，排除了Zeno现象. 通过仿真实验验证了提出方法的有效性.
关键词： 网络控制系统;  负荷频率控制;  事件触发负荷;  动态量化;  输入到状态稳定    
Abstract:

The dynamic quantization technology was introduced into the network-controlled power system and the event-triggered load frequency control (LFC) method was applied to save the network resources aiming at the high proportion of new energy connected to the grid and the increasing communication load of secondary frequency modulation. The input-to-state stability of LFC system was realized by observer-based output feedback controller. An event-triggered mechanism with exponential decay term was designed for the feedback channel, and an event-triggered mechanism with state simulation term was designed for the forward channel according to the system state and dynamic quantization parameters. A dynamic model of event-triggered LFC system based on quantization communication was established. The condition of closed-loop system input-to-state stability was obtained under the bounded load disturbance. Zeno phenomenon was eliminated. The effectiveness of the proposed method was verified by simulation.
Key words: network-controlled system    load frequency control    event-triggered load    dynamic quantization    input-to-state stability
收稿日期: 2022-07-23 出版日期: 2023-07-17
CLC:  TP 13  
基金资助: 国家自然科学基金资助项目（61903121，62073269）；河北省自然科学基金资助项目（F2020202063）；河北省创新能力提升计划资助项目（18961604H）；航空科学基金资助项目（2020Z0340-53002）；陕西省重点研发计划资助项目（2022GY-244）
作者简介: 丁三波（1989—），男，副教授，博导，从事智能控制和网络化控制的研究. orcid.org/0000-0002-1438-5330. E-mail： dingsanbo@163.com
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引用本文:

丁三波,张康,杨飞生,张家安. 基于动态量化的电力系统事件触发负荷频率控制[J]. 浙江大学学报(工学版), 2023, 57(7): 1460-1469.

San-bo DING,Kang ZHANG,Fei-sheng YANG,Jia-an ZHANG. Event-triggered load frequency control for power system based on dynamic quantization. Journal of ZheJiang University (Engineering Science), 2023, 57(7): 1460-1469.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2023.07.021    或    https://www.zjujournals.com/eng/CN/Y2023/V57/I7/1460

图 1  单区域负荷频率控制系统的动态模型
图 2  基于量化控制的负荷频率控制系统动态模型
参数 参数值 参数 参数值
M/Hz?1 10 Tg/s 0.1
D/Hz?1 1 R/Hz 0.05
Tch/s 0.3 $\;\beta$/Hz?1 21
表 1  电力负荷频率控制系统的参数
图 3  系统频率偏差的响应曲线
图 4  系统状态的响应曲线
图 5  观测器状态的响应曲线
图 6  状态估计误差的响应曲线
图 7  测量输出信号和输出量化器的响应曲线
图 8  控制输入信号和输入量化器的响应曲线
图 9  缩放变量的响应曲线
图 10  系统频率偏差的响应曲线[22]
图 11  基于所提方法的事件触发间隔
图 12  事件触发间隔[22]
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