计算物理 ›› 2019, Vol. 36 ›› Issue (6): 719-725.DOI: 10.19596/j.cnki.1001-246x.7931

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分布式发电系统感性负载的远程混沌同步

钟国翔1, 韦笃取1, 张波2   

  1. 1. 广西师范大学电子工程学院, 广西 桂林 541004;
    2. 华南理工大学电力学院, 广东 广州 510610
  • 收稿日期:2018-07-22 修回日期:2018-09-15 出版日期:2019-11-25 发布日期:2019-11-25
  • 通讯作者: 韦笃取(1975-),男,广西贵港,博士,教授,研究方向为非线性动力学,E-mail:weiduqu@mailbox.gxnu.edu.cn
  • 作者简介:钟国翔(1990-),男,广西柳州,硕士研究生,研究方向为非线性电路,E-mail:652909870@qq.com
  • 基金资助:
    国家自然科学基金(11562004)资助项目

Remote Chaotic Synchronous Control of Inductive Load in Distributed Power Generation System

ZHONG Guoxiang1, WEI Duqu1, ZHANG Bo2   

  1. 1. College of Electronic Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China;
    2. College of Electric Power, South China University of Technology, Guangzhou, Guangdong 510640, China
  • Received:2018-07-22 Revised:2018-09-15 Online:2019-11-25 Published:2019-11-25

摘要: 对含有大规模感性负载分布式发电系统(DG)的远程同步进行研究.以风力发电机作为DG发电节点,以永磁同步电机作为实际感性负载,建立一个具有网络耦合作用的DG数学模型,分析不同拓扑网络结构(包括星型、多层网络结构型、随机网络结构型、实际电网IEEE39系统)DG系统感性负载的远程同步特性,进行数值仿真.研究表明:感性负载通过发电机组的中继作用可实现远程混沌同步.研究结果对保证分布式发电系统的同步稳定运行具有意义.

关键词: 永磁同步风力发电机, 永磁同步电机, 远程同步, 分布式发电, 混沌同步

Abstract: A remote synchronous control method of large-scale inductive loads in distributed generation (DG) systems is proposed. Firstly, a mathematical model with networked coupling effect is established, in which permanent magnet synchronous generator (PMSG) is regarded as a node of power generation and permanent magnet synchronous motor (PMSM) is considered as a practical inductive load. Then, numerical simulations were made to analyze characteristic of remote synchronization of large-scale inductive loads in DG systems with different topology network structures that including star network, multilayer networks, random network and actual power system of IEEE39. It shows unexpectedly that a practical inductive load, through relaying action of generator unit, implements remote synchronous controlling, which is important for stability of synchronization of DG systems.

Key words: PMSM, PMSG, remote synchronization, distributed generation, chaotic synchronization

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