Abstract
Reasonable planning of electric vehicle charging station is of great significance for large-scale use of electric vehicles. Based on the analysis of charging station construction requirements, a multi-objective planning model for charging station location problem considering users' satisfaction and operator benefits is constructed. From the point of view of users' satisfaction, consider the electric vehicle charging station's location problem with two parts, one is minimum of driving distance, the other is shortest time of waiting for charging. From the point of view of operator benefits, is the lowest cost of construction of charging station. Then, the improved tabu-genetic algorithm is proposed to solve this model. The test results show that the model proposed in this paper can effectively determine the locations and the service regions of the recharging stations, and the algorithm is quick and effective.
Highlights
With the development of electric vehicle technology, especially battery technology, and the strong support of policy in some countries, electric vehicles have developed rapidly in the past more than 10 years [1,2]
Electric vehicle charging station is a city traffic public service facilities, its function is similar to the gas station [8,9]
The test results show that the model proposed in this paper can effectively determine the locations and the service regions of the recharging stations, and the algorithm is quick and effective
Summary
With the development of electric vehicle technology, especially battery technology, and the strong support of policy in some countries, electric vehicles have developed rapidly in the past more than 10 years [1,2]. According to the queuing theory, the model of charging facilities service system is established in document [4]. Document [5] considers the uneven distribution of electric vehicle demand in the planning area, and takes the minimum investment and operation costs as the goal. In document [7], the configuration method of charger based on queuing theory is put forward, and the optimization model of public charging station layout is established. Based on the above considerations, this paper draws lessons from the strategies of distributed power source location [10,11], and integrates the power facilities planning method [12]. The test results show that the model proposed in this paper can effectively determine the locations and the service regions of the recharging stations, and the algorithm is quick and effective
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