Abstract: Disclosed is a method for establishing an active distribution network planning model considering location and capacity determination of an electric vehicle charging station. In terms of location and capacity determination of electric vehicle charging stations, a traffic flow of electric vehicles is converted into a charging demand flowing in a traffic network, and an electric vehicle traffic network model is established based on an M/M/s queuing model and a flow capturing location model in the traffic field. A distributed generation (including wind power and photovoltaic) and load model is established, based on a time series method. An energy storage element model in a power distribution network is established based on an idea of equivalent load. A nested planning model is established by taking economy and reliability of a power distribution network and a maximum traffic flow intercepted by the electric vehicle charging stations as objectives.

Abstract: Disclosed is a method for establishing an active distribution network planning model considering location and capacity determination of an electric vehicle charging station. In terms of location and capacity determination of electric vehicle charging stations, a traffic flow of electric vehicles is converted into a charging demand flowing in a traffic network, and an electric vehicle traffic network model is established based on an M/M/s queuing model and a flow capturing location model in the traffic field. A distributed generation (including wind power and photovoltaic) and load model is established, based on a time series method. An energy storage element model in a power distribution network is established based on an idea of equivalent load. A nested planning model is established by taking economy and reliability of a power distribution network and a maximum traffic flow intercepted by the electric vehicle charging stations as objectives.