有源智能配网FMEA表及可靠性标准化评估方法

FMEA Meter and Standardization Assessment Method of Active Intelligent Distribution Network

智能环网柜等配网自动化技术及可再生能源的发展,在提高了配电网智能化的同时也增加了可靠性分析的复杂度。采用故障模式后果分析法(failure mode and effect analysis,FMEA)可提前预判有源智能配网故障隔离及负荷转供多样性带来的影响。针对FMEA法人工生成工作量大,缺乏系统整体评估等问题,提出了基于负荷划分的FMEA表及有源智能配网可靠性评估的标准化方法。该方法兼顾有源智能配网中智能化及多DG供电特性,基于图论技术中的广度优先搜索和连通性判别方法,以故障后有源智能配网内负荷划分识别矩阵为关键表征量,建立了FMEA表二维矩阵的线性化表达。同时,结合负荷划分识别矩阵及FMEA表,构建了有源智能配网可靠性系统评估指标的标准化模型。算例仿真表明,本文所提标准化方法简明,对复杂有源智能配网具通用性,与蒙特卡洛分析方法对比,验证了所提方法的有效性。

The development of such automation technology of distribution network as intelligent ring main unit as well as of renewable energy improves the intelligence of distribution network and,at the same time,also increases complexity of reliability analysis.The use of failure mode and effect analysis(FMEA for short)can predict in advance the effect due to fault isolation and multiple load transfer of active intelligent distribution network.In view of such issues of FMEA method as large manual generation workload and lack of overall assessment of system ect,the standardization method of FMEA table based on load classification and reliability assessment of active intelligent distribution network is proposed.The method compromises both intelligence and multiple DG power supply characteristic in the active intelligent distribution network and sets up the linear expression of the two⁃dimensional matrix of the FMEA table on the base of breadth first search and connectivity discrimination in graph theory technology and with the load classification identification matrix in the active intelligent distribution network as the key characterization quantity.Meanwhile,the standardization model for assessment index of reliability system of active intelligent distribution network is set up with combination of the load classification identification matrix and FMEA table.It is shown by the calculation case simulation that the standardization method proposed in this paper is simple and universal to complex active intelligent distribution network.The effectiveness of the standardization method proposed in this paper is verified method is verified by way of comparison with Monte Carlo analysis.