Abstract
In view of the practical application requirements for the rapid expansion of electric taxis (ETs) and the reasonable planning of charging stations, this paper presents a method for mining latent semantic correlation of large data by the trajectory of ETs and the planning of charging stations with optimal cost. Firstly, the vector space modeling method of ET trajectory data is studied, and the semantic similarity of the trajectory data matrix is evaluated. Secondly, the hidden characteristics of the mass trajectory data are extracted by matrix decomposition. Then, the latent semantic correlation characteristics of trajectory data are mined. Finally, the fast clustering of ETs is realized by the spectral clustering method. On this basis, with the objective of minimizing the annual construction and maintenance costs of charging stations, the optimal planning scheme of charging stations for ETs is given. In this paper, the spectrum clustering processing method of the potential semantic correlation of the big data of the driving track of ETs can be combined with the operation and maintenance costs of the charging station, and the convenience of charging for ET users is also considered. This provides decision support information for the reasonable planning of charging stations.
Highlights
With the continuous development of science and technology and the concern of environmental protection, renewable energy power generation [1,2] and electric vehicles (EVs) have been rapidly developed and attracted more and more attention [3,4]
By considering the investment cost and operation and maintenance cost of the charging stations, the planning will be very conducive to the economic operation of the charging stations, as well as to the popularization of electric taxis (ETs) and the development of the whole ET industry
Considering this idea, this paper studies the charging station planning problem by spectral clustering and economic optimization based on the large data of the travel characteristics of the Electronics 2021, 10, 1947 users of ETs from the perspective of the users, the economics of charging stations and the popularization and development of ETs
Summary
With the continuous development of science and technology and the concern of environmental protection, renewable energy power generation [1,2] and electric vehicles (EVs) have been rapidly developed and attracted more and more attention [3,4]. The planning of EV charging stations is affected by many factors The study of this problem should consider the construction cost, traffic flow and user’s charging demand. In [17], a planning model method considering net present value and life cycle cost is proposed to determine the site and size of the charging stations This model integrated the distribution network constraint, the user constraint and the traffic flow captured constraint. It can greatly reduce the time cost and opportunity cost of the user, greatly improving the charging efficiency and convenience of the ET On this basis, by considering the investment cost and operation and maintenance cost of the charging stations, the planning will be very conducive to the economic operation of the charging stations, as well as to the popularization of ETs and the development of the whole ET industry.
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