4.7 Article

An Integrated Planning Framework for Different Types of PEV Charging Facilities in Urban Area

期刊

IEEE TRANSACTIONS ON SMART GRID
卷 7, 期 5, 页码 2273-2284

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2015.2436069

关键词

Charging facility; charging load forecasting; integrated planning; particle swarm optimization (PSO) algorithm; plug-in electric vehicles (PEVs); Voronoi diagram

资金

  1. National High Technology Research and Development of China 863 Program [2012AA050211]
  2. National Natural Science Foundation of China [51261130473]
  3. EPSRC [EP/K006274/1] Funding Source: UKRI
  4. Engineering and Physical Sciences Research Council [EP/K006274/1] Funding Source: researchfish

向作者/读者索取更多资源

To build a properly planned infrastructure for plug-in electric vehicle (PEV), charging will bolster their market acceptance. Different types of PEV charging facilities for private PEVs, including public charging spots deployed in public parking lots (PLCSs) and roadside fast-charging stations (FCSs), are substitutes for each other. This paper proposes an integrated planning framework for them in an urban area from the perspective of a social planner. The planning objective is to minimize the social costs of the whole PEV charging system. The proposed framework decouples the planning for different types of charging facilities. The spatial and temporal charging demands for FCSs are generated by a charging demand forecasting method, when the quantities of different types of PLCSs are given. The optimal siting and sizing problem of FCSs is solved by Voronoi diagram together with particle swarm optimization algorithm. By traversing the quantities of different types of PLCSs, the optimal planning results are obtained. The effectiveness of the proposed framework is verified via a case study of a real-urban area in China. The substitution effect between different types of charging facilities is studied. The impacts of the ambient temperature, the private charging spot possession rate, and the service level of PLCSs on the planning results are also assessed.

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