Intelligent Decision-making Method And Application Research Of Distribution Network Reconstruction

Used distribution network containing multiple types of distributed generation as reconstruction object, the research content mainly includes network optimization reconstruction, fault diagnosis and location, and fault recovery reconstruction.The main purpose of network optimization reconstruction is to reduce the network loss, balance the load and improve the quality of voltage, etc., then to improve power supply reliability and economy. In this paper, in terms of optimization reconstruction used minimum network loss as objective function, used particle swarm optimization to optimize the network based on the flow algorithm. As the network containing a distributed generation, firstly, specially processed the node of the distributed generation, such as PV nodes and the processing of weak ring network, made the flow algorithm can adapt to the distribution network containing DG.Fault diagnosis and localization is the precondition of researching network fault recovery reconstruction. Based on ADPSS simulation platform established actual network simulation model, simulated some key node failure, thus established database. Used vector correlation method matched node information according to RTU and TTU with voltage sag database to establish fault source location.In terms of distribution network fault recovery reconstruction, improved the intelligent algorithm based on distribution network optimization reconstruction. According to the fault localization and diagnosis method to find out location and isolation of fault, and then refactoring the network without fault. Used the standard network with several load patterns as refactoring object, take the minimum network losses and minimum number of switch action as the objective function, researched fault recovery reconstruction based on network optimization algorithm.