4.7 Article

Scenario-Based Comprehensive Expansion Planning for Distribution Systems Considering Integration of Plug-in Electric Vehicles

期刊

IEEE TRANSACTIONS ON POWER SYSTEMS
卷 31, 期 1, 页码 317-328

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2015.2403311

关键词

Coordinated charging; distribution system expansion planning (DSEP); dumb charging; flexibility; plug-in electric vehicles (PEVs)

资金

  1. National Basic Research Program (973 Program) [2013CB228202]
  2. National Natural Science Foundation of China [51477151, 51361130152]
  3. Engineering and Physical Sciences Research Council [EP/L001039/1] Funding Source: researchfish
  4. EPSRC [EP/L001039/1] Funding Source: UKRI

向作者/读者索取更多资源

Widespread utilization of plug-in electric vehicles (PEVs) would incur more uncertainties, and thus challenge the traditional planning strategies for distribution systems. In this paper, a scenario-based comprehensive expansion planning (SCEP) approach for distribution systems is presented to cope with future uncertainties. This approach can not only take into account the initial investment and operation costs but also consider the expected adaptation cost to other future scenarios, and in this way the flexibility of an initial planning scheme can be achieved. Future scenarios are identified in line with three uncertainties, namely the conventional load levels, penetration levels of PEVs and whether or not with successful implementation of a coordinated charging strategy. The charging profile for dump charging mode has been determined straightforwardly, while that for coordinated charging mode is obtained by solving the proposed day-ahead dispatching model (DDM). Furthermore, a priority-based real time dispatching strategy (PRTDS) is proposed to obtain direct charging instructions for PEVs, and thus to demonstrate the rationality of utilizing the charging profile acquired from DDM in distribution system expansion planning (DSEP). Finally, the performance of the proposed methodology is demonstrated by numerical studies.

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