Research On The Planning Method Of Intelligent Distribution Network With Reliability As The Goal

With the continuous economic growth, industrial structure transformation makes the development of the power grid can not blindly pursue load of high-speed development, At the present stage, the requirement for the reliability of the user is more and more high., existing distribution network planning methods and technical means can not meet the demand. Therefore, it is necessary to study a reliability for distribution network planning methods, so as to better deal with the intelligent distribution network in the development of power supply reliability and economy relationship.In this paper, the inadequacies of the existing distribution network planning method, put forward the reliability for intelligent distribution network planning methods, to intelligent distribution network reliability calculation, the reliability index of distribution network influence factors, the distribution system reliability, promotion measures, planning optimization algorithm in more in-depth study. The research results are as follows:1. Reliability evaluation of distribution network based on the minimal path. Using the modified minimal path method of contact and distributed power complex distribution system reliability evaluation, the IEEE RBTS-BUS 6 system as examples of calculation and comparison. The results show that the feasibility and rationality of the method.2. Analysis of the influence factors of distribution network reliability index, formulate measures to improve. Evaluate the reliability indices of distribution network based on distribution network planning, combined with the reliable historical data, analysis the influence factors of reliability index, proposed reliability enhancement measures, calculating the effect on the reliability index of each measure value.3. An optimization model based on reliability is established. An optimization model based on reliability cost effectiveness is put forward. In the case of limited investment, genetic algorithm is adopted to optimize the optimization, so as to obtain the highest reliability cost benefit plan.4. Through the example analysis, theory, based on the above mentioned to distribution network of planning reliability, finally arrive at the optimal portfolio of projects, under different investment reliability cost-benefit calculation. The feasibility of the method is proved by comparing the results of the final program.