Urban Distribution Network Structure Planning Based On Reliability

With the continuous development of the economy, electricity users are increasingly demanding high level of power supply reliability. In this process, there have been many problems. Such as, how to plan the network optimally when the substation and the load have been determined, how to balance the relationship between the investment cost and reliability, how to get an optimal scheme that can meet the load demand and a certain level of reliability. This is an important element in the distribution network planning which is also the content of this article to study.This article, taking into account the lack of electricity cost which directly reflects the level of supply reliability, turn the lack of electricity costs into economic indicators. And the mathematics models of distribution network structure optimal planning is presented, the objective of which is to minimize the sum of investment cost, operation cost, and the power outage cost. The backward/forward sweep algorithm is used in this article to calculate the cost of power loss and the minimal path method is used to evaluate distribution network reliability to obtain reliability cost indices. In the end, searching the optimal result of planning model using quantum particle swarm optimization (QPSO) algorithm, which has calculate advantages namely parallel search, mutation operation and momentum factor dynamic adjustment strategy, global optimization ability and search efficiency are greatly enhanced. By empirical study of projects, the proposed model and algorithm are proved to be scientific and effective.