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基于形态学梯度算法的微电网行波保护方案
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  • 英文篇名:Current traveling wave based protection scheme for microgrids using morphological gradient algorithm
  • 作者:薛士敏 ; 崔淼
  • 英文作者:XUE Shimin;CUI Miao;Key Laboratory of Smart Grid of Ministry of Education, Tianjin University;
  • 关键词:微电网 ; 形态学梯度算法 ; 行波保护 ; 故障选线 ; 故障选相
  • 英文关键词:microgrids;;morphological gradient algorithm;;current traveling wave based protection;;fault line selection;;fault phase selection
  • 中文刊名:JDQW
  • 英文刊名:Power System Protection and Control
  • 机构:天津大学智能电网教育部重点实验室(天津大学);
  • 出版日期:2019-01-18 09:43
  • 出版单位:电力系统保护与控制
  • 年:2019
  • 期:v.47;No.524
  • 基金:国家自然科学基金项目资助(51577129);; 国家高科技发展计划项目资助(863计划)(2015AA050102);; 国家电网公司科技项目资助“适应高渗透分布式电源接入的配电网继电保护技术研究”~~
  • 语种:中文;
  • 页:JDQW201902005
  • 页数:9
  • CN:02
  • ISSN:41-1401/TM
  • 分类号:37-45
摘要
针对交流微电网的故障特征和保护要求,提出一种基于形态学梯度算法的行波保护故障选线选相方案。首先,通过比较离散小波变换和形态学梯度算法对电流行波的提取结果,得出形态学梯度算法能更清晰地提取行波的结论。其次,设计适用于多种拓扑结构的微电网行波保护故障选线方案。然后,利用三相初始电流行波及其模分量设计一种故障类型判断和故障选相方案。最后,对行波保护的死区问题进行分析并提出相应的解决方案。利用PSCAD/EMTDC和Matlab软件进行仿真分析,仿真结果验证了所述保护方案的正确性和可行性。
        In consideration of the fault characteristics and protection requirements of microgrids, this paper proposes a current traveling wave based protection scheme using morphological gradient algorithm that can select fault lines and phases. Firstly, compared with discrete wavelet transform algorithm and morphological gradient algorithm, it is found that morphological gradient algorithm can extract traveling wave signals more clearly. Secondly, a fault line selection scheme is designed, which applies to various network topologies of microgirds. Thirdly, a fault type identification and fault phase selection scheme based on three-phase initial current traveling waves and their modal components is proposed. Finally, the dead zone problem of travelling wave protection is analyzed and the corresponding solution is proposed. The PSCAD/EMTDC and Matlab software are used in the simulation analysis, and correctness and feasibility of the protection scheme is verified by simulation results.
引文
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