Efficient evaluation method of distribution network reliability considering real-time operation condition changes
Based on the coupling relationship between transmission line failure rate,service time and operating conditions,this paper presents a methodology for efficiently assessing the reliability of distribution networks that takes into account real-time changing operating conditions.In order to alleviate the disadvantages of the traditional reliability evaluation method that requires repeated reliability evaluation process when the operating conditions of the system change,a reliability evaluation algorithm for source-load multi-dimensional uncertainty factors is proposed based on the idea of model-data mixing.Firstly,based on the coupling relationship between transmission line un-availability rate,operating conditions and aging effect,a transmission line unavailability rate model is established,and a methodology for selecting key components for distribution networks is also proposed.Subsequently,an analyt-ical model of the reliability parameters of the main components of the distribution network reliability index is devel-oped.Finally,the mapping relationship between the analytical model and the renewable energy output and distribu-tion network load level is obtained through the BP neural network,so as to enable rapid updating of distribution system reliability indicators in the event of changes in source loads.Sample tests have confirmed the accuracy and effectiveness of the proposed methodology.
distribution networkanalytic modelsdata-drivenoperational reliability assessment
万方数据
维普
