Latest revision as of 02:13, 23 March 2021

Abstract

In the literature, many optimization algorithms were developed to control electrical loads, especially Electric Vehicles (EVs) in buildings. Despite the success of the existing algorithms in improving the power profile of charging EVs and reducing the total electricity bill of the end-users, these algorithms didn&rsquo

t show significant contribution in improving the voltage profile on the network, especially with the existence of highly inductive loads. The control of the active power may not be sufficient to regulate the voltage, even if sophisticated optimization algorithms and control strategies are used. To fill the gap in the literature, we propose a new algorithm that is able to control both the active and reactive power flows using electric vehicles in buildings and homes. The algorithm is composed of two parts

the first part uses optimization to control the active power and minimize the electricity bill, while the second part controls the reactive power using the bidirectional converter in the EV in a way that the voltage profile on the distribution transformer respects its limits. The new approach is validated through a comparative study of four different scenarios, (i) without EV, (ii) with EV using uncoordinated charging, (iii) with EV using coordinated charging, (iv) with EV using our proposed algorithm. Results show that our algorithm has maintained the voltage within the recommended limits, and it has minimized the peak load, the electricity cost, and the techno-economic losses on the network.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/wevj11020043 under the license https://creativecommons.org/licenses/by

• https://www.mdpi.com/2032-6653/11/2/43/pdf under the license http://creativecommons.org/licenses/by/3.0/

• https://www.mdpi.com/2032-6653/11/2/43,

https://doaj.org/toc/2032-6653 under the license cc-by

• https://www.mdpi.com/2032-6653/11/2/43,

https://www.mdpi.com/2032-6653/11/2/43/pdf,

http://www.mdpi.com/2032-6653/11/2/43,

https://academic.microsoft.com/#/detail/3031740568

• https://www.mdpi.com/2032-6653/11/2/43/pdf,

http://dx.doi.org/10.3390/wevj11020043

under the license https://creativecommons.org/licenses/by/4.0/