Title :
The effect of aggregated plug-in electric vehicles penetrations in charging stations on electric distribution netwroks reliability
Author :
Pazouki, Samaneh ; Mohsenzadeh, Amin ; Haghifam, Mahmoud-Reza
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran
Abstract :
One of the significant solutions to cope with Greenhouse Gas Emission (GHG) challenges in big cities is replacing Internal Conventional Engines (ICEs) dependent on fossil fuels by Plug-In Electric Vehicles (PEVs). Emission lower, flexible fuels, convenient charging and high performance are considered as important benefits of the technologies. In spite of aforementioned advantages, penetration of aggregated PEVs with different levels in Charging Stations (CSs) threatens electrical system reliability. Therefore, reliability assessment of power system is required to be used for different purposes. Average Sustained Interruption Duration Index (ASIDI) and Energy Not Supplied (ENS) are employed in order to evaluate distribution network reliability through availability of PEVs penetration market in CSs. Simulation is carried out on a 33 bus radial distribution network. The results demonstrate how much reliability of electric distribution network is affected by penetrating different level of PEVs in CSs. The results approve the increase of 0.2% to 2.6% ASIDI is as the result of PEVs in CSs and the increase of PEVs penetrations in CSs. Furthermore, the results confirm that the increase of 2.5% to 30% ENS is as the result of PEVs in CSs and higher PEVs penetrations in CSs.
Keywords :
air pollution; battery powered vehicles; power distribution reliability; 33 bus radial distribution network; ASIDI; ENS; GHG; aggregated plug-in electric vehicles; average sustained interruption duration index; charging stations; electric distribution networks reliability; electrical system reliability; energy not supplied; flexible fuels; fossil fuels; greenhouse gas emission; power system reliability assessment; Cascading style sheets; Charging stations; Electric vehicles; Electrical engineering; Power system reliability; Reliability;
Conference_Titel :
Smart Grid Conference (SGC), 2014
Print_ISBN :
978-1-4799-8313-1
DOI :
10.1109/SGC.2014.7090883