電動(dòng)汽車(chē)充換電站規(guī)劃方法及運(yùn)營(yíng)狀態(tài)評(píng)估研究
[Abstract]:The shortage of fossil energy and environmental pollution have promoted the development of electric vehicle industry. With the development of electric vehicle battery technology, electric vehicle will be commercialized gradually in the future. Electric vehicle (EV) is the most promising kind of new energy vehicle. Electric vehicle (EV) is the main strategic orientation of the development of new energy vehicle in China. As an important part of the electric vehicle supporting facilities, the electric vehicle charging power station has been developed rapidly with the support of government policy and the active participation of enterprises. The construction and operation of large-scale electric vehicle replacement power station is an important guarantee for the development of electric vehicle consumption market. Therefore, it is necessary to study the planning and operation technology of electric vehicle recharge power station. The change of charging load of electric vehicle charging power station will have a certain impact on the power grid. Electric vehicle charging power station load has the characteristics of fixed charging location, concentrated charging time and large charge load. Based on the calculation of charging load of charging power station, the influence of charging power station on power quality and economic operation of power network is analyzed in this paper. By comparing the voltage offset and network loss rate of distribution network power flow with and without charging load in different periods of time, the simulation results show that the operation of electric vehicle charging and switching power station will have a certain adverse effect on the power network. Then, on the basis of analyzing the influence of charging load on the power network, the cost benefit and life cycle cost calculation method of the charging and changing power station is analyzed in detail for the electric vehicle charging and changing power station operation cycle, based on the above work, It is proposed that the capacity of charging station should be estimated by traffic network traffic flow information, the maximum net present value (NPV) income obtained by charging and replacing power station operators should be the best choice target, and the traffic flow of transportation network, the power quality and economy of power network, and the charging demand of users should be taken as the constraint condition. The location and capacity of the charging power station are determined, and the optimal programming model of the charging power station considering the whole life cycle cost is proposed, and the quantum genetic algorithm is used to solve the model. The simulation results show that the optimal programming model and its solving method are effective. Finally, in order to test the effect of power station planning and construction and improve the level of operation and management of electric vehicle recharge power station, a new evaluation method of electric vehicle recharge power station operation state considering customer satisfaction is put forward. Firstly, the service rating of electric vehicle charging power station and the operation status information of the charging power station are taken as evidence, and the DS/G2 method is used to fuse the evidence to determine the evaluation results of a single customer's operation status of an electric vehicle charging and replacing power station. Then, the concept of evidence conflict is introduced to optimize the weight of the quantitative value of multiple customer evaluation results. Based on D-S evidence theory, the evaluation results of multiple customers are fused, and the advantages and disadvantages of the operation level of multiple charging and switching power stations are compared. Through the evaluation of the operation state of the charging and changing power station, it has certain guiding significance for improving the service level of the charging and changing power station. The feasibility of the method is verified by an example.
【學(xué)位授予單位】:湖南大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:U491.8
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