Study On Reconfiguration Of Distribution Network

As modern distribution networks have been developing fast, the network is increasingly complex, the makeup of power consumer has changed greatly, and consumer’s requirement for improving power quality and supply reliability is more and more stronger, it is difficult to keep a large-scaled distribution network operating safely and economically only by manual management and even difficult to satisfy the imperative requirement of power utilities for reducing losses an enhancing service quality.Restoration in distribution system is an important aspect of distribution automation and distribution optimization. In normal operation state, network reconfiguration can be undertaken to improve operation efficiency, losses minimization and load balancing. When there is a fault in the distribution system, it can fast locate the fault and separate the load with connect the fault by operation switches according to the real-time structure of the distribution network. Then it can find an operating pattern by changing the status of the tie or sectionalizing switches. The optimal reconfiguration is used to find a restoration solution and implemented to provide as much supply as possible to the customers until the system is returned to the normal state.The distribution reconfiguration problem is a non-linear, multi-constraint, mixed-integer optimization problem. Though so many optimal techniques, Genetic Algorithm is applied widely in distribution reconfiguration algorithm for its outstanding performance of search optimization. Firstly, a model about service restoration reconfiguration in distribution networks based on the analysis of the distribution network is proposed. Then this dissertation’s focus is mainly on the application of Genetic Algorithm to distribution reconfiguration algorithm. This paper presents an improved solution for distribution network reconfiguration based on a refined hybrid genetic algorithm. In the algorithm the "integer permutation" encoding is adopted with each integer representing one controllable switch, which to a certain extent improve the local optimal capability of the algorithm, quicken the algorithm’s constringency and improve the algorithm’s performance. The simulation system is constituted with MATLAB. The results of the analysis and simulation denote that the method proposed in this paper is efficient and reliable. Finally, several conclusions on service restoration reconfiguration in distribution system are given.