Mathematical modeling of electric vehicles contributions in voltage security of smart distribution networks

Mathematical modeling of electric vehicles contributions in voltage security of smart... This paper evaluates the voltage security of the distribution networks in the presence of electric vehicles in the optimization framework. Accordingly, the main objective functions of this optimization problem include maximization of voltage security margin and minimization of operational cost. Also, it is supposed that the electric vehicles are equipped with bidirectional chargers to control active and reactive power in smart distribution networks, simultaneously. The objective functions are subject to the constraints of power flow equations, system operating limits and electric vehicle constraints. The proposed model is implemented on the 33-bus distribution network to evaluate the performance of the proposed optimization scheme for the management of the smart distribution networks in the presence of electric vehicles. The results show that the operational cost and network voltage security margin are reduced in the case of the higher electric vehicle penetration rate when electric vehicles are used for charging active power and reactive power control capability, with respect to the case that does not include electric vehicles. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png SIMULATION: Transactions of The Society for Modeling and Simulation International SAGE

Mathematical modeling of electric vehicles contributions in voltage security of smart distribution networks

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Publisher
SAGE
Copyright
© The Author(s) 2018
ISSN
0037-5497
eISSN
1741-3133
D.O.I.
10.1177/0037549718778766
Publisher site
See Article on Publisher Site

Abstract

This paper evaluates the voltage security of the distribution networks in the presence of electric vehicles in the optimization framework. Accordingly, the main objective functions of this optimization problem include maximization of voltage security margin and minimization of operational cost. Also, it is supposed that the electric vehicles are equipped with bidirectional chargers to control active and reactive power in smart distribution networks, simultaneously. The objective functions are subject to the constraints of power flow equations, system operating limits and electric vehicle constraints. The proposed model is implemented on the 33-bus distribution network to evaluate the performance of the proposed optimization scheme for the management of the smart distribution networks in the presence of electric vehicles. The results show that the operational cost and network voltage security margin are reduced in the case of the higher electric vehicle penetration rate when electric vehicles are used for charging active power and reactive power control capability, with respect to the case that does not include electric vehicles.

Journal

SIMULATION: Transactions of The Society for Modeling and Simulation InternationalSAGE

Published: Jun 1, 2018

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