Study On Distribution Network Planning With Distributed Generation

Distributed generation (DG) technology is a new rising type of power generation technology in recent years, which make full use of new clean energy, save investments, flexible, highly-efficient and environmentally compatible power generation conduct. Distributed generation has got the attention by all countries in the world and will become an important part in total power system supply. The study of distributed generation technology has a major theoretical value and practical significance.As the load growth and the access to larger distribution network, the study on distribution network planning with distributed generation has become an important issue. Distribution planning is a multi-variable, multi-bound mixed nonlinear planning problem, and the optimization process is very complicated. In view of the distribution network planning and the distribution generation's characteristics, this paper proposes the application of the Particle Swarm Optimization (PSO) algorithm in the distribution network planning with distributed generation. This paper launches on this topic, and uses the PSO algorithm to solve multi-objective problems in the distribution network planning with distributed generation.This paper introduces the classification of the distributed generation, as well as its impacts on the power system. These impacts include: distributed generation on power system security and reliability, power quality, relay protection, loss, and so on. When the distributed generator embedded the traditional power system, the original distribution network planning methods can't play a good role. This paper introduces general planning ideas and summary steps under the new system and studies the methods of the distribution network planning and that with distributed generation.Whether in the fields of the natural areas or in the community, to minimize the costs and obtaining the greatest benefits are always the goals human pursuit. Minimizing costs while maximizing efficiency, will be a contradiction of the two fronts simultaneously consider constitutes a typical multi-objective optimization problem. In this paper, the background of multi-objective problem, basic concepts of the PSO algorithm, mathematical models and algorithms steps application areas have a brief introduction. Based on the deeply study of the PSO algorithm can further expand the areas of the application and provide a new and effective theoretical basis solutions for multi-objective optimization.This paper establishes a minimum network loss, the minimum energy costs of distributed power operation, the largest distributed generators installed capacity of distributed generation based distribution network planning multi-objective optimization model. To solve the multi-objective optimization problem, this paper transform multi-objective into single-objective problem, then solve the latter using single-objective algorithm.Finally, this paper tests the PSO algorithm with specific application in a real network planning. Through the simulation calculation, the results show that the algorithm used in this area is feasible and effectiveness. Using the PSO algorithm to solve the multi-objective optimization problem, and comparing of the analysis simulation results which not contain and contain distributed generators distribution network planning show that: distribution network planning with distributed generation have a reasonable optimization and superiority in some certain extent. From one side we can confirm that the distributed generation technology introducing into power system will bring more positive influences, but also confirm that the distributed generation technology has a broad application prospects.