Two-Stage Optimization Method for Energy Loss Minimization in Microgrid Based on Smart Power Management Scheme of PHEVs

Utilizing plug-in hybrid electric vehicles (PHEVs) is growing fast and booming nowadays. These vehicles, as portable loads and energy sources, may be connected to standard sockets at home. As a result, those extra electrical loads, grid to vehicle, generations, and vehicle to grid, have several impa...

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Published inIEEE transactions on smart grid Vol. 7; no. 3; pp. 1268 - 1276
Main Authors Nafisi, Hamed, Agah, Seyed Mohammad Mousavi, Abyaneh, Hossien Askarian, Abedi, Mehrdad
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.05.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN1949-3053
1949-3061
DOI10.1109/TSG.2015.2480999

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Summary:Utilizing plug-in hybrid electric vehicles (PHEVs) is growing fast and booming nowadays. These vehicles, as portable loads and energy sources, may be connected to standard sockets at home. As a result, those extra electrical loads, grid to vehicle, generations, and vehicle to grid, have several impacts on distribution networks, e.g., network energy loss. This paper presents a two-stage optimization method to minimize the energy loss of microgrid with different penetration levels of PHEVs. In the first stage, a novel convex quadratic objective function for active power management of PHEVs is proposed, and daily required energy of PHEVs is calculated based on stochastic model of PHEV owners' behavior. It is supposed that PHEVs can be employed as distributed capacitors. Therefore, reactive power of PHEVs is specified in the second stage. Afterward, the proposed methodology is applied to a realistic distribution network. It will be illustrated that network energy loss is likely to rise considerably in the case of increasing penetration level of PHEVs without smart charging strategy; in order to minimize network energy loss, a smart management scheme will have to be considered. Also, the significant impact of PHEVs' active and reactive power management on energy loss reduction will be demonstrated.
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ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2015.2480999