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Title

Locating Fast Charging Stations for Plug-In Hybrid Electric Vehicles in Distribution Networks with Considering Load Uncertainties Using a New Multi-Agent Harmony Search Algorithm

Year: 1400
COI: JR_SPRE-5-3_002
Language: EnglishView: 62
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Authors

Razieh Heidari - Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
Alimorad Khajehzadeh - Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran
Mahdiyeh Eslami - Department of Electrical Engineering, Kerman Branch, Islamic Azad University, Kerman, Iran

Abstract:

The use of Plug-in Hybrid Electric Vehicles (PHEV) can be known as an efficient factor for reducing the pollution caused by fossil fuels. It is obvious that with increasing the number of these vehicles, charging stations are needed to be established on the network. Therefore, in this paper, the problem of locating fast charging stations for Plug-in Hybrid Electric Vehicles using a new Multi-agent Harmony Search Algorithm is completely studied. According to the fact that the load uncertainties caused by charging hybrid electric vehicles are an effective and important factor to determine the number and also suitable locations of charging stations, the Poison and normal distributions are here used for considering uncertainties about the number of hybrid electric vehicles per hour and the charging demand for each hybrid electric vehicle, respectively. To study the problem in this paper, first, ۱۰,۰۰۰ different scenarios are made per hour and then, using Latin Hypercube, the number of the scenarios of each hour is dropped to ۱۰. Finally, a new Multi-Agent Harmony Search Algorithm is applied to reduce network losses in different scenarios. The obtained results show that determining the number and the suitable locations for vehicle charging stations can greatly reduce the risk of overloading in the network caused by charging hybrid electric vehicles

Keywords:

Plug-in hybrid electric vehicles , Poison and Normal Distributions , New multi-agent harmony search algorithm , Charging stations

Paper COI Code

This Paper COI Code is JR_SPRE-5-3_002. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1271371/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Heidari, Razieh and Khajehzadeh, Alimorad and Eslami, Mahdiyeh,1400,Locating Fast Charging Stations for Plug-In Hybrid Electric Vehicles in Distribution Networks with Considering Load Uncertainties Using a New Multi-Agent Harmony Search Algorithm,https://civilica.com/doc/1271371

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Scientometrics

The specifications of the publisher center of this Paper are as follows:
Type of center: Azad University
Paper count: 7,898
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