Reconfiguration Strategy Of Multi-objective Optimal Of Distribution Network With Distributed Generation

With the development of smart grid,distributed power,as a component of the smart grid,has an increasing penetration rate in the grid.After distributed power sources are connected to the power network,they will have varying degrees of impact on all aspects of the power grid.Distribution network reconstruction optimizes the operation of the power grid by changing the topological structure of the distribution network,which can effectively improve the economy and reliability of system operation.The main research work and results of this paper are as follows:(1)First,this article describes the research background and status quo of distribution network reconfiguration,briefly introduces the basic types of distributed power sources and their advantages and disadvantages,and discusses the problems caused by distributed power sources after they are connected to the distribution network.The impact is summarized and summarized.(2)Regarding the static reconfiguration of the distribution network,this paper establishes a mathematical model with the minimum system operating cost and voltage offset as the optimization function,and proposes an improved NSGA-Ⅱ algorithm to solve the model.The constraint processing method based on the superiority of feasible solutions is adopted to deal with the constraints of the model.Choose the best solution based on fuzzy decision-making methods.Finally,the simulation is carried out in combination with a calculation example.The results show that after the reconfiguration of the distribution network,the operating cost of the system can be effectively reduced,and the voltage of each node has also been increased.(3)In terms of dynamic reconfiguration of the distribution network,this paper establishes a mathematical model of economic benefits and voltage quality,and uses an improved NSGA-Ⅱ algorithm to solve the model.A time division method based on Mahalanobis distance is proposed,and the reconstruction time period is divided based on the change trend of node voltage and system operating cost.Finally,the IEEE33-node system is simulated to verify the effectiveness of the method in this paper.(4)Considering the uncertainty of wind power and photovoltaic output,firstly,a wind turbine photovoltaic output interval model based on prediction errors is established,and then the deterministic optimization model is transformed into a model with uncertain constraints,and a fuzzy evaluation strategy is used to convert the multi-objective problem into a single Target question.Under the guidance of interval planning theory,find the worst constraint scenario.Finally,the method is simulated and analyzed,and the results verify the effectiveness of the model.