发电技术 ›› 2019, Vol. 40 ›› Issue (2): 122-127.DOI: 10.12096/j.2096-4528.pgt.18224

• 能源互联网 • 上一篇    下一篇

基于本地检测法的微电网孤岛检测方法研究

刘忠强1(),刘忠富2,*()   

  1. 1 沈阳仪表科学研究院有限公司, 辽宁省 沈阳市 110043
    2 大连民族大学信息与通信工程学院, 辽宁省 大连市 116600
  • 收稿日期:2018-10-30 出版日期:2019-04-30 发布日期:2019-05-09
  • 通讯作者: 刘忠富
  • 作者简介:刘忠强(1978),男,硕士,工程师,研究方向为智能电网、传感器与嵌入式系统, liuzhongqiang2016@163.com
  • 基金资助:
    中央高校自主科研基金资助项目(DC201501059)

Detection Method for Islanded Microgrid Based on the Local Detection Method

Zhongqiang LIU1(),Zhongfu LIU2,*()   

  1. 1 Shenyang Academy of Instrumentation Science Co., Ltd, Shenyang 110043, Liaoning Province, China
    2 College of Information & Communication Engineering, Dalian Minzu University, Dalian 116600, Liaoning Province, China
  • Received:2018-10-30 Published:2019-04-30 Online:2019-05-09
  • Contact: Zhongfu LIU
  • Supported by:
    Chinese Universities Scientific Fund(DC201501059)

摘要:

微电网在并网和孤岛2种状态间能够稳定切换运行,首先要解决的关键问题就是要有效检测出所处的运行状态,因此,孤岛检测技术一直是微电网研究的重点及热点问题。在详细分析传统经典孤岛检测算法的基础上,对近年来众多研究者提出的基于频率、相位、谐波和阻抗等不同基本电气量的改进检测算法进行总结,并指出具体的改进措施,对比分析其各自在检测盲区、精确性和工程实用性等特性上的优缺点。综述了多种检测相结合使用,以及基于其他原理的孤岛检测算法,并对未来孤岛检测算法的研究做出进一步的展望,以促进微电网技术向更加智能化的方向发展。

关键词: 微电网, 孤岛检测, 主动检测, 被动检测, 基本电气量

Abstract:

In order to stabilize the microgrid operating between the networks and islands, the key issue that detecting the operating state effectively must be solved. Therefore, the island detection technology becomes important research field. Based on the detailed analysis of the classic detection algorithm, this paper summarized the improved detection algorithm based on electrical quantities, including frequency, phase, harmonics and impedance. The advantages and disadvantages of the different detection method in non-detection zone, accuracy and practicability, etc was pointed out. A variety of detection used in combination, and islanding detection algorithm based on other principles was reviewed, and a further prospects were done for the islanding detection algorithm research, in order to promote micro-grid technology more intelligent.

Key words: microgrid, islanding detection, active detection, passive detection, basic electrical quantities