Planning of Electric Vehicle Charging Infrastructure for Urban Areas with Tight Land Supply

Chunlin Guo,Jingjing Yang,Lin Yang

doi:10.3390/en11092314

Chunlin Guo, Jingjing Yang + Show 1 more

Open Access

https://doi.org/10.3390/en11092314

Copy DOI

Journal: Energies	Publication Date: Sep 3, 2018
Citations: 24	License type: CC BY 4.0

Affiliation: North China Electric Power University

Abstract

Motivated by the development of electric vehicles (EVs), this paper addresses the planning of EV charging infrastructures (EVCIs). Considering that the optimal locations for EVCIs in most cities with a tight land supply are difficult to obtain, it is significant to study the planning of EVCIs in such cities. This paper proposes a planning method and model of EVCIs under the condition that alternative locations of centralized charging infrastructures (CCIs) are known. Firstly, based on the principle of energy equivalence, the sales volume of the fuel of gas stations in the planned area is converted into the equivalent electric quantity (EEQ) and the EEQ is divided according to the demands of different EVs for charging. Then, an equal product of the load and distance (EPLD) criterion is used to distribute the EEQ to CCIs and distributed charging infrastructures (DCIs) located in areas for load forecasting. The final plan is given out after checking the constraints and planning rationality. In addition, the net present value (NPV), the average charging distance, and the total harmonic distortion (THD) rate are used to evaluate the planning scheme. Finally, the feasibility and practicability of the proposed method are verified by a case study in Beijing.

Highlights

With the continuous worldwide shortage of fossil fuels and environmental pollution problems, the electric vehicle (EV) is regarded as an effective way to reduce carbon emissions by many countries [1,2,3].the imperfection of the charging infrastructures has always been one of the key factors that hinder the development of electric vehicles (EVs) [4,5,6,7]
This paper focuses on the planning of EV charging infrastructures (EVCIs) for urban areas with limited land supply
rigid equivalent electric quantity (REEQ) allocated to distributed charging infrastructures (DCIs) in the residential areas and office areas are calculated by the load forecasting method

Summary

Introduction

With the continuous worldwide shortage of fossil fuels and environmental pollution problems, the electric vehicle (EV) is regarded as an effective way to reduce carbon emissions by many countries [1,2,3].the imperfection of the charging infrastructures has always been one of the key factors that hinder the development of EVs [4,5,6,7]. With the continuous worldwide shortage of fossil fuels and environmental pollution problems, the electric vehicle (EV) is regarded as an effective way to reduce carbon emissions by many countries [1,2,3]. The way EVs replenish power is significantly different from traditional fuel vehicles. Researches show that EV charging relies mainly on EV charging infrastructures (EVCIs) located at home or at work [8]. Such charging infrastructures are large in scale and geographically dispersed, which poses great challenges for the planning of charging infrastructures [9].

Methods

Results

Conclusion