Probabilistic Load Flow of Active Distribution Network Considering Spatial-temporal Correlation of Distribution Generation and Distribution Characteristics of Electric Vehicle Charging Load
At present,the spatial and temporal characteristics of the random variables,such as the distribution generation(DG)and the electric vehicle(EV)charging load,are not considered enough when connected to the power system,which has led to the deviation of the probabilistic load flow calculation from the reality.Therefore,this paper proposes a probabilistic load flow model of the active distribution network considering the DG spatial-temporal correlation and the EV distribution characteristics.Firstly,the probability model of the wind power and photovoltaic output is established by using the scenario generation.Then,considering the road network constraints and the users'psychology,a load probability model considering the spatial and temporal distribution characteristics of the EV is also established.Finally,the correlation input variables are processed by the Nataf transform combined with the singular value decomposition.The three-point estimate method is used to calculate the probabilistic load flow,and the cumulative distribution function is obtained by the Cornish-Fisher series fitting.The IEEE-33 node system is used to test the proposed model,and the influence of the DG spatial-temporal correlation and the EV distribution characteristics on the power flow of the distribution network is analyzed.The results show that the spatial and temporal correlation of the DG mainly affects the fluctuation of the system,and the distribution characteristics of the EV mainly affect the operation characteristics of the system.The research results may provide a theoretical guidance for the safe operation of the new distribution network.
distribution generationelectric vehicle charging loadscenario generationspatial-temporal characteristicsactive distribution networkprobabilistic load flowNataf transform
万方数据
维普
