Integration of distributed generations by coordinating electric vehicle charging station in medium voltage network by Swarm intelligence
ISSN: 1708-5284
Article publication date: 1 June 2022
Issue publication date: 10 November 2023
Abstract
Purpose
Notable energy losses and voltage deviation issues in low-voltage radial distribution systems are a major concern for power planners and utility companies because of the integration of electric vehicles (EVs). Electric vehicle charging stations (EVCSs) are the key components in the network where the EVs are equipped to energize their battery. The purpose of this paper is coordinating the EVCS and distributed generation (DG) so as to place them optimally using swarm-based elephant herding optimization techniques by considering energy losses, voltage sensitivity and branch current as key indices. The placement and sizing of the EVCS and DG were found in steps.
Design/methodology/approach
The IEEE 33-bus test feeder and 52-bus Indian practical radial networks were used as the test system for the network characteristic analysis. To enhance the system performance, the radial network is divided into zones for the placement of charging stations and dispersed generation units. Balanced coordination is discussed with three defined situations for the EVCS and DG.
Findings
The proposed analysis shows that DG collaboration with EVCS with suitable size and location in the network improves the performance in terms of stability and losses.
Research limitations/implications
Stability and loss indices are handled with equal weight factor to find the best solution.
Social implications
The proposed method is coordinating EVCS and DG in the existing system; the EV integration in the low-voltage side can be incorporated suitably. So, it has societal impact.
Originality/value
In this study, the proposed method shows improved results in terms EVCS and DG integration in the system with minimum losses and voltage sensitivity. The results have been compared with another population-based particle swarm optimization method (PSO). There is an improvement of 18% in terms of total power losses and 9% better result in minimum node voltage as compared to the PSO technique. Also, there is an enhancement of 33% in the defined voltage stability index which shows the proficiency of the proposed analysis.
Keywords
Acknowledgements
The authors are thankful to the Department of Electrical and Electronics Engineering and Department of Electrical Engineering, VSSUT, Burla, for providing necessary facilities to perform the research work.
Citation
Rout, S. and Biswal, G.R. (2023), "Integration of distributed generations by coordinating electric vehicle charging station in medium voltage network by Swarm intelligence", World Journal of Engineering, Vol. 20 No. 6, pp. 1097-1111. https://doi.org/10.1108/WJE-03-2022-0105
Publisher
:Emerald Publishing Limited
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