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access icon free Optimal allocation of plug-in electric vehicle capacity to produce active, reactive and distorted powers using differential evolution based artificial bee colony algorithm

  • Author(s): Hassan Feshki Farahani 1, 2  and  Farzan Rashidi 3
    • View affiliations
  • Source: Volume 11, Issue 8, November 2017, p. 1058 – 1070
    DOI:  10.1049/iet-smt.2016.0444 , Print ISSN 1751-8822, Online ISSN 1751-8830
© The Institution of Engineering and Technology
Received 30/10/2016, Accepted 26/07/2017, Revised 10/05/2017, Published 31/07/2017

Plug-in electric vehicles (PEVs) can produce active, reactive and distorted power as well as pollution reduction. This study proposes an optimisation framework to allocate the PEVs capacity to generate each power component considering to grid and vehicle constraints, technical concerns and market price. In the proposed framework, PEVs compete with active power-line conditioners (APLCs) to generate distorted power and with generators to produce active and reactive power. An objective function is defined which includes distribution system operator (DSO) payment for each market participant. This function is minimised based on a hybrid optimisation algorithm (HOA) combining artificial bee colony (ABC) and differential evolution (DE) algorithms subject to grid and vehicles constraints. In the presented algorithm, a novel self-adaptive modification phase is proposed to improve overall ability of the algorithm for optimisation applications. The effectiveness and efficiency of the method is demonstrated on a low-voltage network with 134 customers as a case study.

Inspec keywords: optimisation; electric vehicle charging; electric vehicles

Other keywords: active power-line conditioners; distribution system operator; optimisation framework; differential evolution based artificial bee colony algorithm; hybrid optimisation algorithm; plug-in electric vehicle capacity

Subjects: Optimisation techniques; Automobile electronics and electrics

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