The infrastructure construction of charging facilities for electric vehicles (EVs) is one of the key factors influencing the development of electric vehicle industry. A reasonable location and capacity determination scheme is very crucial to this issue. In this study, a probability calculation model that fully analyses the charging behavior of the owners is proposed to predict the charging load of the planned land. Based on the results of electric vehicle load forecasting, a location model with the lowest users travel cost is established. The location of charging station is optimized by genetic algorithm to obtain the location and capacity library of charging station. Especially, the two-way cost for both the owners and the operators is considered for the location and capacity decision, and the optimal scheme is selected from the location and capacity library as the final planning result. An example analysis shows that the proposed method is effective and feasible for the location and capacity determination of electric vehicles charging stations in cities.

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In order to solve the shortcomings of traditional orderly charging strategy, such as the inability to accurately respond to EV load, the difficulty to formulate an effective charging strategy and the lack of positive response from users. In this paper, a novel interactive network model of distribution network and electric vehicles is constructed. The optimization factor is assigned to the charging station, so that the scheduling for electric vehicles is no longer random. Further based on the time-of-use price for the charging, the multi-objective orderly charging model from the point of both users and power grid is established. The minimum charge cost and the minimum variance of load are taken as the multi-objective function with the constraints of charging demand and rated capacity of transformer. Finally, the simulation by NSGA-II on different numbers of electric vehicles shows that the proposed orderly charging strategy can significantly reduce the charging cost and load peak valley for a certain scale of electric vehicles charging. It is beneficial to ensure the safety and stability of the distribution network and improve users satisfaction.

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