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Download fileAn Integrated Approach to Optimal Charging Scheduling of Electric Vehicles Integrated with Improved Medium-Voltage Network Reconfiguration for Power Loss Minimization
journal contribution
posted on 2020-01-01, 00:00 authored by Adil Amin, Wajahat Ullah Khan Tareen, Muhammad Usman, Kamran Ali Memon, Ben HoranBen Horan, Anzar Mahmood, Saad MekhilefThe uncoordinated integration of electric vehicles (EVs) severely deteriorates the operational performance of a distribution network. To optimize distribution network performance in an EV charging environment, this paper presents a two-stage optimization approach, which integrates coordinated EV charging with network reconfiguration. A formulation to minimize system power loss is presented, and an optimal solution is obtained using a binary particle swarm optimization algorithm. The proposed approach is tested on a modified IEEE 33-bus medium-voltage node test system, coupled with a low voltage distribution network. Results of the coordinated and uncoordinated EV charging are compared with those of the developed integrated approach, and the operational performance of the system is studied. The results show that the integration of network reconfiguration with coordinated EV charging significantly decreases network power losses and fairly improves voltage profile. Thus, the proposed strategy can lead to improved operational performance of the system while dealing with the growing penetration of EVs in the network.
History
Journal
SustainabilityVolume
12Issue
21Pagination
1 - 15Publisher
MDPI AGLocation
Basel, SwitzerlandPublisher DOI
Link to full text
eISSN
2071-1050Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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No categories selectedKeywords
electric vehiclenetwork reconfigurationbinary particle swam optimizationdistribution networkScience & TechnologyLife Sciences & BiomedicineGreen & Sustainable Science & TechnologyEnvironmental SciencesEnvironmental StudiesScience & Technology - Other TopicsEnvironmental Sciences & EcologySMART GRIDSTECHNOLOGIES