Research On Planning For Integration Of Distributed Generation

In recent years,distributed power generation(DG)has many advantages,including strong flexibility,environmental protection and so on,thus realizing large-scale grid connection.However,it also has the characteristics of intermittence and fluctuation.Once connected to the grid,the security and stability of the system operation will be reduced,and the gap between peak load and valley load will be large.According to the research of scholars,the two main factors of DG access are access capacity and access location.If there is no reasonable choice,it will have adverse effects,such as network loss,stability,power quality,safety and reliability of distribution network.Therefore,in order to avoid these harmful consequences,through reasonable planning and selection of the installation location,operation type and capacity of the distributed power supply,the purpose is to improve its utilization efficiency,meet the demand of future load growth,and reduce the cost of the grid.In the process of research,this paper analyzes the load growth and proposes a distributed generation planning method combined with the demand side response scheme.First of all,considering the uncertain factors such as the time sequence of photovoltaic,wind power and other distributed power sources,scenario aggregation based on classification probability model and multi scenario analysis method is used;secondly,in order to define the installation location,type and capacity of distributed power sources,the corresponding distributed power planning model is constructed.In this process,the objective function is composed of the following parts It can include the investment cost,network loss cost,reliability cost and demand side response cost of distributed generation.There are three constraints,i.e.power flow constraint,demand side response load constraint and distributed generation capacity constraint.Finally,based on the consideration of the demand side response model of distributed generation planning,the improved particle swarm optimization algorithm is selected for its application Solution.In this study,ieee-33 node distribution network is selected as an example,and the feasible operation scheme is obtained after simulation analysis.At the same time,after comparison,it is found that the load curve can be significantly improved and the investment cost can be reduced by using the planning scheme with demand side response.