The development and application of electric vehicles (EVs) have become strategic choice for lots of countries to face the problems of energy crisis and environmental pollution. New challenges to all aspects of the power system will be brought with the extensive integration of numerous plug-in EVs in the future. To promote the development of EVs and exert a positive influence on the power system, the cluster charging load characteristic of EVs should be clarified and the charging facilities should be properly planned. The network interactive strategies should also be draught based on the existing charging facilities and means of conmunication.Given this background, some related topics are discussed in this thesis. First, the behavior of the electric taxi is analysed. The well-established Monte-Carlo simutation method is applied to determine the electric taxi driving pattern in the gridding central urban area. Then the charging load calculation mode considered spatial and temporal random distribution of the EVs is eventually proposed. Secondly, the charging demands of various types of EVs are discussed. The demands for different charging facilities are subsequently calculated with the charging load prediction. The planning region is divided into different geographical zones. The demands for the charging facilitites in the candidate zones are determined by the charging demand coeffcient in each zone. Thus the sitting and sizing model of the EV charging facilities based on geographical zonal charging demand coefficients is developped. At the last, the system structure of EV participating in the frequency regulation service is proposed. The constraints for output change of the EVs are discussed combined with the driving pattern of the users. The control model based on the MATLAB/SIMULINK is finally established. |