Abstract
This work proposes an efficient charging regulation strategy based on optimal charging priority and location of plug-in electric vehicles (PEVs). It employs a hybrid particle swarm optimization for optimal charging priority and location of PEVs in distribution networks, with the objectives of minimization of charging cost, power loss reduction and voltage profile improvement. The algorithm is executed on IEEE 30-bus test system. The results are compared with those that are gained by executing sample genetic algorithm (SGA) with diverse parameters on the same system. The results indicate the effectiveness and promising application of the proposed methodology.
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Wang, J., Kang, Q., Tian, H., Wang, L., Wu, Q. (2014). Centralized Charging Strategies of Plug-in Electric Vehicles on Spot Pricing Based on a Hybrid PSO. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_46
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DOI: https://doi.org/10.1007/978-3-319-11897-0_46
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11896-3
Online ISBN: 978-3-319-11897-0
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