Dynamic Reconfiguration Of Distribution Network Considering The Correlation Among Wind Power And The Charging/Discharging Modes Of Electric Vehicles

The large-scale access of distributed wind power and electric vehicles to the distribution network increases the uncertainty of distribution network operation,and there are often correlations between adjacent wind farms.These uncertainties and correlations bring new challenges to the optimal management of distribution network.In order to deal with the complex non-linear relationship between wind farms,copula function and Rosenblatt transformation were combined to deal with the complex nonlinear relationship between wind farms,a cumulant method,which is based on copula function and Rosenblatt transformation,was firstly presented to solve probabilistic load flow.The proposed method not only captures the nonlinear correlation between input variables accurately,but also has the advantages of high efficiency of cumulant method,which has the advantages of wide applicability,accurate correlation description and fast calculation.The IEEE33-bus system that access wind farms was used in the simulation.The results of simulation verified the validity,accuracy and practicability of the proposed method.The calculation results of the proposed method are closer to the actual operating condition than that of the method which considers linear correlation.The theoretical basis for the dynamic reconfiguration of the subsequent distribution network is established.Distribution reconfiguration determines the optimal network topology by opening and closing circuit breakers and contact switches,and it is widely used in distribution network optimization.Compared with static reconfiguration of distribution network,dynamic reconfiguration of distribution network is more suitable to consider the uncertainty of electric vehicles and distributed wind power in the whole research area.Therefore,in order to comprehensively consider the above uncertainties and related factors,a dynamic reconfiguration model for distribution network,which aims at minimizing the expected loss of electric energy throughout a day while taking wind power correlation and the charging / discharging modes of electric vehicle into account,was established.Under the three models of electric vehicle including random charge,load valley charge and load valley/peak charge/discharge,the dynamic reconfiguration strategy of the distribution network was studied.Meanwhile,the influence of wind power correlation on distribution network dynamic reconfiguration was analyzed.The modified IEEE33-bus system was used in the simulation,and the optimal network topology,network power loss expectation and voltage expectation offset were obtained in all charging modes of electric vehicles,which can provide theoretical basis for decision makers.Through the analysis of the influence of wind power correlation on the dynamic reconfiguration of distribution network,the validity of the correlation model based on copula function and Rosenblatt transform in the dynamic reconfiguration of distribution network is verified.