Considering The Active Distribution Network Planning Of Multi-stakeholder And Resilience Evaluation

With the gradual deepening of the reform of the national power industry and the further development of active distribution network technology,different stakeholders such as distribution companies,DG operators and users have emerged.In addition,the distributed generation transaction mode also presents diversification,and the distributed transaction mode affects the final distribution network planning results.At the same time,with the frequent occurrence of extreme weather,new requirements have been put forward for the antidisturbance ability and power supply recovery ability of the distribution network in extreme weather,and the resilience of the distribution network should be considered in the planning of the distribution network.Therefore,single objective planning only based on a single stakeholder cannot meet the demand of distribution network planning.This paper studies distributed transaction mode,resilience evaluation of distribution network,active distribution network planning and elastic improvement strategy of distribution network considering multiple stakeholders.The main research results are as follows:1)Research on distributed generation trading model.This paper introduces the domestic and foreign distributed generation trading modes,establishes the distributed generation timing model and the distributed generation direct trading mathematical model,USES the complete information dynamic game to solve the electricity price of distributed generation in direct trading,and compares the traditional trading mode with the distributed generation trading mode.2)In order to evaluate the power supply recovery ability of distribution network in extreme weather,this paper proposes the resilience evaluation method and resilience evaluation index system of distribution network.Aiming at the randomness of extreme weather,this paper simulates the extreme weather scenario by monte carlo and reduces the scenario by K-means clustering algorithm.According to the vulnerability curve,the time-varying failure rate of each branch of the distribution network can be obtained.Considering the uncertainty of load and renewable energy output,Latin hypercubic sampling was used to extract load,renewable energy output and distribution network failure scenarios to evaluate resilience of the distribution network.According to the defense stage(disaster prevention stage)and failure duration stage(disaster reduction stage)of distribution network,the resilience evaluation index system is established.The influences of power line type,photovoltaic permeability and connection line installation location on distribution network resilience are studied with numerical examples.3)Based on the three domestic transaction modes,the flexibility of distribution network is added into the planning objectives,and the active distribution network planning considering multiple stakeholders is studied.A bilevel programming model is established.The upper layer is the DG optimal configuration model.The upper layer model is solved by genetic algorithm with the goal of maximizing the gains of DG operators.The lower layer is the active distribution network planning model,and the parthenogenetic algorithm based on pareto set is used to solve the lower layer for the purpose of distribution network revenue and maximum distribution network resilience.Three kinds of distributed generation trading modes are simulated by examples,and the results of three kinds of programming are analyzed and compared.4)To study the elastic promotion strategy of distribution network considering mobile energy storage and demand response.A fault recovery model considering emergency repair team and mobile energy storage is established to minimize power supply loss.The example is solved by using the Gurobi solver.The results show that considering mobile energy storage and demand response can effectively improve the resilience of distribution network.