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考虑随机时变延时的孤岛微电网分布式二次控制 被引量:9

Distributed Secondary Control of Islanded Microgrid With Stochastic Time-varying Delay
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摘要 在由多个分布式发电单元(distributed generation units,DG)组成的孤岛微电网中,各DG的信息交互通过通信网络来完成,而通信网络传输带来的随机时变延时会影响控制系统的稳定性。为此,针对在具有随机时变延时的系统中,该文提出一种考虑随机时变延时的分布式二次控制方法,旨在实现输出电压和频率的稳定。首先,采用小信号模型分析的方法对所提系统进行线性化建模;其次,引入一种新的李亚普诺夫—克拉索夫斯基函数和积分不等式推导稳定性判据;随后,根据所提出的稳定性判据,给出保持系统稳定的控制器参数设计方法;最后,在MATLAB/Simulink中建立仿真模型,通过结果验证所提控制方法的有效性和稳定性判据的正确性。 In an islanded microgrid composed of multiple distributed generation units(DGs), the information interaction of each DG unit is completed through the communication network, and the stochastic time-varying delay caused by the transmission of the communication network will affect the stability of the control system. For the system with stochastic time-varying delay, this paper proposed a distributed secondary control method with stochastic time-varying delay, which aimed to achieve the stability of output voltage and frequency.A small-signal model analysis method was used to linearize the proposed system. Then, a new Lyapunov-Krasovskii functional and integral inequality were introduced to derive the stability criterion, and the controller parameter design to keep the system stable was given according to the proposed stability criterion. Finally, a simulation model was established in MATLAB/Simulink, and the validity of the proposed control method and the correctness of the stability criterion were verified.
作者 孙伟 方昭 杨建平 高博 丁津津 SUN Wei;FANG Zhao;YANG Jianping;GAO Bo;DING Jinjin(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,Anhui Province,China;Shandong Kehui Power Automation Co.,Ltd.,Zibo 255087,Shandong Province,China;Electric Power Research Institute of State Grid Anhui Electric Power Company,Hefei 230022,Anhui Province,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2022年第3期864-875,共12页 Proceedings of the CSEE
基金 中国国家自然科学基金项目(51877060)。
关键词 孤岛微电网 分布式二次控制 随机时变延时 小信号模型 稳定性判据 islanded microgrid distributed secondary control stochastic time-varying delay small-signal model stability criterion
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