电动汽车充电站规划研究-电气工程专业论文.docx

ABSTRACT With the rapid development of economy, lack of resources and environmental pollution problems are getting worse. People are increasingly concerned about their health and living conditions. Currently, the huge vehicle market is not only intensifying resource-intensive, but also adding more pressure to the urban environment. Because of its energy-saving and environment-friendly features, the electric vehicle is becoming the main direction of the automotive industry. With the national policy support and the active participation of the major car manufacturers, the technical level of the electric vehicle is increasing. Up to now, part of the electric vehicle has been formed and put into the demonstration run. Industrialization and commercialization mode of the electric vehicle is gradually improving. As the penetration increases, the charging of electric vehicles will become another important load. There will be a very big impact on the grid. As the infrastructure and supporting, the charging station must first be planning and construction. In this paper, some problems have been studied for large-scale application of electric vehicles, such as charging demand forecasting, charging stations locating and sizing, service scoping, etc. The main work in this dissertation is summarized as follows: Electric vehicle charging is closely related to the habits of the residents. So it has the characteristics of randomness and uncertainty. Based on this, a Monte Carlo prediction model was constructed on conventional charging demand and fast charging demand. The impact of a large number of disorderly charging on the grid load curve has been analyzed. In order to decrease this negative effect, Pricing Policy was studied to guide the electric vehicle charging orderly. And a peak-valley price time-period optimization model was put forward. Through the optimization of peak-valley price time-period, the gap between peak load and valley load was narrowed and electrical equipment