基于D-S证据理论多源信息融合与配电网故障行波分析

Multi-source D-S Evidence Information Fusion and Fault Traveling Wave Analysis of Distribution Network

多源信息融合与单一信息源故障定位相比,故障定位能够充分利用电力系统自动化设备,例如将更多的卡尔曼滤波、贝叶斯理论、D-S证据理论、聚类分析、人工神经网络、专家知识系统、模糊集理论、粗糙集理论等信息汇集到一起,大幅提升故障定位的准确性。结合多源信息融合技术相关理论与D-S证据理论,在故障发生后行波的各种特性进行分析,对于故障定位与行波装置配置研究提供相应的参考理论支持。

Compared with single information source fault location,multi-purpose information fusion can make full use of power system automation equipment,gather more information together,and greatly improve the accuracy of fault location.This chapter analyzes the relevant theories of multi-purpose information fusion technology and D-S evidence theory,analyzes various characteristics of traveling waves after faults occur,and provides theoretical support for fault location and configuration research of traveling wave devices for reference by peers.