Research On Distribution Network Planning With Distributed Generation

With the development of power generation technology and the improvement of people’s environmental awareness,distributed power generation has become an inevitable trend of future power grid development due to its green environmental protection,flexible power generation,high power supply quality and high reliability.However,the existing power grid is constrained by many conditions.the operation condition,load forecast,loss situation,and distribution network planning of the large power grid will be affected by different type,location,and power of distributed power sources.Therefore,the various advantages and disadvantages brought by distributed power sources should be fully considered when planning the distribution network.The main research contents are as follows:(1)This paper mainly studies the distribution network planning with distributed generation.Firstly,this paper introduces the types,advantages and disadvantages of distributed generation,analyzes its influence on distribution system,and introduces the processing method of distributed generation mathematical model and power flow calculation method.Then,the basic concept of multi-objective optimization problem,particle swarm optimization algorithm and multi-objective particle swarm optimization algorithm are introduced,and the effectiveness of the algorithm is tested by benchmark functions ZDT1～ZDT3.(2)Aiming at the problems of low calculation accuracy and slow convergence speed of traditional particle swarm optimization algorithm in solving the distribution network planning problem with distributed generation,an improved particle swarm optimization algorithm is proposed,and a new planning model considering the minimum power cost,the minimum power purchase cost and the smaller static voltage stability index of distribution network with distributed generation is established.(3)At the same time,this paper also comprehensively considers the constraints of various operating conditions such as power flow distribution,node voltage,power factor and short-circuit current,and repairs the infeasible solution.Finally,this paper takes a 110/10 k V distribution network as an example to optimize it.By comparing with the results of multi-objective genetic algorithm(NSGA-II),the correctness of the proposed multi-objective particle swarm optimization algorithm is verified.