Research On Sizing And Siting Of PV Storage Charging Integrated Stations On Expressways

The popularization of electric vehicle(EV)and the utilization of renewable energy are effective measures to protect the environment and realize green development.Compared with the urban interior,expressway has more space to arrange photovoltaic,energy storage and other facilities.Sufficient infrastructure charging facilities is the key to the development of EV.Reasonable planning of Expressway PV storage charging integrated stations(PSCIS)is an important measure to solve the environmental and traffic problems.This thesis mainly studies the siting and sizing of the expressway PSCIS.Firstly,this thesis introduces the types and charging modes of EV,builds the structure of expressway PSCIS,analyzes the influencing factors of siting and sizing of expressway PSCIS,and sums up the first principles from the aspects of charging needs and charging service radius of expressway PSCIS planning.Secondly,based on the actual engineering consideration,a comprehensive two-stage method is presented for grid-connected EV charging stations of siting and sizing on expressway networks.In the first stage,based on Monte Carlo method,the charging point is obtained by the charging demand of EV is simulated;The maximum coverage model is proposed to determine the optimal sites of charging stations from potential candidates;In the second stage,taking into account the benefits of charging stations and users satisfaction,considering the uncertainty of photovoltaic output and load demand and so on,a distributed robust optimization model based on data-driven is established according to the temporal and spatial distribution of charging load and the energy flow relationship of charging stations.The queuing time of users is determined based on queuing theory.The ambiguity set centered on empirical probability distribution is expressed to describe uncertainties based on the Kullback-Leibler divergence.The distributed robust optimization model is transformed into MILP problem by risk theory to calculate the number of charging piles and the capacities of renewable generations and energy storage units in each charging station.Finally,a looped expressway network is selected as an example to validate the availability of the model,and the results are compared with the existing research.At the same time,sensitivity analysis is carried out from divergence tolerance and sample data and so on.The results show that the expressway PSCIS has multiple benefits,such as promoting renewable energy integration,improving economy,slowing down the upgrading of distribution network and so on.The proposed method is reasonable and feasible.It combines the advantages of robust optimization and stochastic optimization in a data-driven way,and does not need the accurate probability distribution of uncertain factors.It is more effective for the uncertain problems of photovoltaic output and load demand on the planning of expressway PSCIS.The average annual life cost is reduced after the optical storage equipment is configured;the economy and robustness of the system can be effectively balanced by controlling dispersion tolerance,sample data,range,charging power.