Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system

Introduction. The diminishing conventional energy resources and their adverse environmental impacts compelled the researchers and industries to move towards the nonconventional energy resources. Consequently, a drastic paradigm shift is observed in the power and transportation sectors from the tradi...

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Autores principales:	D. Sengupta, A. Datta
Formato:	article
Lenguaje:	EN RU UK
Publicado:	National Technical University "Kharkiv Polytechnic Institute" 2021
Materias:	electric vehicle charging station optimal allotment ieee 15-bus system voltage stability analysis load-flow analysis particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b8b54ebb84be4bc7b97618cc22fb80b7
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spelling	oai:doaj.org-article:b8b54ebb84be4bc7b97618cc22fb80b72021-12-02T15:20:04ZValidation of optimal electric vehicle charging station allotment on IEEE 15-bus system10.20998/2074-272X.2021.3.112074-272X2309-3404https://doaj.org/article/b8b54ebb84be4bc7b97618cc22fb80b72021-06-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/234487/233454https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Introduction. The diminishing conventional energy resources and their adverse environmental impacts compelled the researchers and industries to move towards the nonconventional energy resources. Consequently, a drastic paradigm shift is observed in the power and transportation sectors from the traditional fossil fuel based to the renewable energy-based technologies. Considering the proliferation of electric vehicles, the energy companies have been working continuously to extend electric vehicle charging facilities. Problem. Down the line, the inclusion of electric vehicle charging stations to the electric grid upsurges the complication as charging demands are random in nature all over the grid, and in turn, an unplanned electric vehicle charging station installation may cause for the system profile degradation. Purpose. To mitigate the problem, optimum allocation of the charging stations in existing power distribution system in a strategic manner is a matter of pronounced importance in maintaining the system stability and power quality. In this paper, optimum allocation of electric vehicle charging stations in IEEE 15-bus system is studied in order to minimize the highest over and under voltage deviations. Methodology. Primarily, voltage stability analysis is carried out for identification of the suitable system nodes for the integration. Voltage sensitivity indices of all the system nodes are calculated by introducing an incremental change in reactive power injection and noting down the corresponding change in node voltage for all nodes. Henceforth, dynamic load-flow analysis is performed using a fast and efficient power flow analysis technique while using particle swarm optimization method in finding the optimal locations. Results. The results obtained by the application of the mentioned techniques on IEEE 15-bus system not only give the optimum feasible locations of the electric vehicle charging stations, but also provide the maximum number of such charging stations of stipulated sizes which can be incorporated while maintaining the voltage profile. Originality. The originality of the proposed work is the development of the objective function; voltage stability analysis; power flow analysis and optimization algorithms. Practical value. The proposed work demonstrates the detailed procedure of optimum electric vehicle charging station allotment. The experimental results can be used for the subsequent execution in real field.D. SenguptaA. DattaNational Technical University "Kharkiv Polytechnic Institute"articleelectric vehicle charging stationoptimal allotmentieee 15-bus systemvoltage stability analysisload-flow analysisparticle swarm optimizationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 3, Pp 68-73 (2021)
institution	DOAJ
collection	DOAJ
language	EN RU UK
topic	electric vehicle charging station optimal allotment ieee 15-bus system voltage stability analysis load-flow analysis particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	electric vehicle charging station optimal allotment ieee 15-bus system voltage stability analysis load-flow analysis particle swarm optimization Electrical engineering. Electronics. Nuclear engineering TK1-9971 D. Sengupta A. Datta Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system
description	Introduction. The diminishing conventional energy resources and their adverse environmental impacts compelled the researchers and industries to move towards the nonconventional energy resources. Consequently, a drastic paradigm shift is observed in the power and transportation sectors from the traditional fossil fuel based to the renewable energy-based technologies. Considering the proliferation of electric vehicles, the energy companies have been working continuously to extend electric vehicle charging facilities. Problem. Down the line, the inclusion of electric vehicle charging stations to the electric grid upsurges the complication as charging demands are random in nature all over the grid, and in turn, an unplanned electric vehicle charging station installation may cause for the system profile degradation. Purpose. To mitigate the problem, optimum allocation of the charging stations in existing power distribution system in a strategic manner is a matter of pronounced importance in maintaining the system stability and power quality. In this paper, optimum allocation of electric vehicle charging stations in IEEE 15-bus system is studied in order to minimize the highest over and under voltage deviations. Methodology. Primarily, voltage stability analysis is carried out for identification of the suitable system nodes for the integration. Voltage sensitivity indices of all the system nodes are calculated by introducing an incremental change in reactive power injection and noting down the corresponding change in node voltage for all nodes. Henceforth, dynamic load-flow analysis is performed using a fast and efficient power flow analysis technique while using particle swarm optimization method in finding the optimal locations. Results. The results obtained by the application of the mentioned techniques on IEEE 15-bus system not only give the optimum feasible locations of the electric vehicle charging stations, but also provide the maximum number of such charging stations of stipulated sizes which can be incorporated while maintaining the voltage profile. Originality. The originality of the proposed work is the development of the objective function; voltage stability analysis; power flow analysis and optimization algorithms. Practical value. The proposed work demonstrates the detailed procedure of optimum electric vehicle charging station allotment. The experimental results can be used for the subsequent execution in real field.
format	article
author	D. Sengupta A. Datta
author_facet	D. Sengupta A. Datta
author_sort	D. Sengupta
title	Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system
title_short	Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system
title_full	Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system
title_fullStr	Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system
title_full_unstemmed	Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system
title_sort	validation of optimal electric vehicle charging station allotment on ieee 15-bus system
publisher	National Technical University "Kharkiv Polytechnic Institute"
publishDate	2021
url	https://doaj.org/article/b8b54ebb84be4bc7b97618cc22fb80b7
work_keys_str_mv	AT dsengupta validationofoptimalelectricvehiclechargingstationallotmentonieee15bussystem AT adatta validationofoptimalelectricvehiclechargingstationallotmentonieee15bussystem
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Validation of optimal electric vehicle charging station allotment on IEEE 15-bus system

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