Research On Distributed Generation Optimization Configuration In Distribution Network

The large number of distributed generation connected to distribution network is an important measure to incorporate renewable energy resources.However,if the access location or capacity is not reasonable,it will have an adverse effect on distribution network.It may increase the cost of operation and bring potential risks for the reliable,safe and stable operation of distribution system.Therefore,the research on the location and capacity optimization of distributed generation connected to grid is important theoretical.There is practical significance for the coordinated operation between distributed generation and distribution network.The optimal configuration of distributed generation connected to distribution network is studied in this thesis.Firstly,the modeling of typical distributed generation was finished.The influence of distributed generation connected to distribution network was analyzed.Wind power generation,photovoltaic power generation,and energy storage were modeled.Open DSS simulation software was used to calculate network losses,voltage and voltage distortion rate by IEEE30 node example respectively with wind power,photovoltaic and energy storage connected to distribution network on different nodes.Secondly,an optimization algorithm based on particle swarm optimization(PSO)and differential evolution(DE)for distributed generation location and capacity was proposed.A PSO-DE parallel optimization algorithm based on the combination of particle swarm optimization and differential evolution was proposed.It overcomes shortcomings of differential evolution and particle swarm optimization that were easy to fall into the local optimum.Test experiments were performed with using three standard test functions.The parameter sensitivity analysis was carried.Comparison results with the existing algorithms verified the effectiveness of proposed algorithm using a real case of distributed generation connected to distribution network.Lastly,a multi-objective optimization model of power quality was established.The optimization study of the capacity and location of distributed generation considering the virtual power plant was finished.According to the operating characteristics of the virtual power plant,the IEEE37-node standard example was used to model the virtual power plant.The impact of distributed power in the virtual power plant on the distribution network was analyzed from three aspects: power flow distribution,network loss distribution,and harmonic pollution.A model with the optimal voltage and minimum voltage distortion rate as the objective function was established.The improved PSO-DE parallel optimization algorithm was used to determine the optimal access location and capacity of newly-added distributed photovoltaics.The work presented in this thesis has reference value for distribution network planning and operation.