基于相邻变电站信息融合的广域后备保护系统

TIAN Congcong; WEN Minghao; LIU Hang; HE Zhiqin

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基于相邻变电站信息融合的广域后备保护系统

更新时间：2025-08-13

- 基于相邻变电站信息融合的广域后备保护系统
- Automation of Electric Power Systems Vol. 36, Issue 15, Pages: 83-90(2012)
- 作者机构：
  
  1. 强电磁工程与新技术国家重点实验室，华中科技大学,湖北省,武汉市,430074
  2. 黄河勘测规划设计有限公司,河南省,郑州市,450003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
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TIAN Congcong, WEN Minghao, LIU Hang, et al. [J]. Automation of electric power systems, 2012, 36(15): 83-90.
DOI：

TIAN Congcong, WEN Minghao, LIU Hang, et al. [J]. Automation of electric power systems, 2012, 36(15): 83-90. DOI：

摘要

人工智能技术为广域后备保护容错性的研究提供了有力的技术平台。借助人工智能技术，文中提出了基于相邻变电站信息融合的广域后备保护算法，用于变电站集中式结构的后备保护。该保护系统收集所在变电站及相邻变电站内的各种主保护信息和后备保护信息，对获取的信息采取融合策略，构成遗传算法的适应度函数，通过遗传算法的最优搜索决策，纠正所在变电站内缺失或错误的信息。对IEEE 5机14节点系统的仿真结果表明，所提出的算法简单可行、可靠性高。

Abstract

A powerful technical platform is provided with artificial intelligence technology for the study on fault tolerance of the wide-area backup protection system. With artificial intelligence technology， a wide-area backup protection algorithm based on information fusion with adjacent substation is proposed for application of backup protection system to the centralized substation. Wide-area backup protection system collects various main protection information and back-up protection information from the local substation and adjacent substations， and a fusion strategy is adopted for acquired information. The adaptive function of genetic algorithm（GA） is formed. The absent or error information of local substation can be correct with the optimal search of GA. Simulation test on IEEE 5-generator， 14-bus system shows that the method is simple， effective and with high reliability.

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