多重假设法的改进及在配电系统故障定位中的应用

Improvement of multiple-hypothesis method and its application in fault location of power distribution systems

为了处理繁杂的故障信息,提出了一种改进的多重假设法应用于故障定位,能够更高效地分析包含了智能电表、故障指示器的正确报告及误报漏报信息,并且使数据分析具有容错性。根据真实的故障场景以及智能电表和故障指示器的数据,提出一系列假设故障场景,计算出每种假设的可能性来确定最有可能激活动作的保护装置和发生故障的线路区段。配电系统馈线上的测试算例结果验证了改进的多重假设法在配电系统故障定位中的有效性。与改进前相比,改进的多重假设法能够列出更完备的假设,具有更高的准确率。

To deal with the miscellaneous fault information,an improved multiple-hypothesis method was proposed for fault location,making it more efficient to analyze the information mixed up with correct,wrong and missing reports from smart meters and fault indicators.Additionally, the data analysis had fault tolerance.According to the real fault scenarios and data of smart meters and fault indicators,a set of hypotheses were presented.The credibility of each hypothesis was calculated to find out the most credible actuated protective device( s) and the faulted line section( s) .The results of test cases based on the distribution feeders validated the effectiveness of the proposed method. Compared with the original multiple-hypothesis method, the improved one could list out more complete hypotheses and keep higher accuracy.