The electric demand of EV in the public transportation sector is increasingly important to the future city’s power distribution and even infrastructure construction. According to the characteristic of public transportation, this paper analyzed the influence factors of EV power load and they were divided into three parts. Then a predicting model of EV power load in public transportation based on fuzzy clustering analysis method was put forward. We used BP (Back Propagation) neural network algorithm to solve the fuzzy clustering analysis problem. Finally the predicting model was operated in a practical example. Results showed that this predicting model of EV power load in public transportation based on fuzzy clustering analysis could be appropriately applied in reality.

As a promising transport in the future, electric vehicles plays an important role in people's lives and energy conservation. Planning of electric vehicle charging stations has a far-reaching significance for the popularity of electric vehicles. In this paper, we discuss the siting problem of electric vehicle charging station and propose a two-step method of optimization method. Firstly, we establish a charging station location model, then use Voronoi diagram to determine the preliminary zone, finally we get this problem optimally solved by immune algorithm.The example verifies feasibility of this model.

With the large-scale EV(electric vehicle) integrating into the power system, new challenges has been brought to the planning as well as the security of the network. There will be a great impact on the system if the system operator ignores the vast quantity of EV charging at the same. Thus, taking measures, e.g. the multiple tariff, is of vital importance to give the guidance to the EV owners to charging wisely to save the daily cost on charging, as well as reduce the gap between peak load and valley load. A model for TOU has been presented in this paper. In the model , an objective function is declared to describe the purpose of TOU, and the optimal solution is gained according to the response of EV when the price of electricity changes. Finally , a case based on the daily load curve of a certain place is calculated with the model in this paper.

As a promising transport in the future, electric vehicles plays an important role in people's lives and energy conservation. In recent years, the rapid development of electric vehicles, inevitably causes the overload problems to the original grid. This paper presents a transformer load models with the consideration of electric vehicle charging load. We analyze the transformer overload problem by the results obtained by simulation of the model.