The effect of aggregated plug-in electric vehicles penetrations in charging stations on electric distribution netwroks reliability

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.

[1]  P Frías,et al.  Assessment of the Impact of Plug-in Electric Vehicles on Distribution Networks , 2011, IEEE Transactions on Power Systems.

[2]  Zechun Hu,et al.  Distribution network expansion planning with optimal siting and sizing of electric vehicle charging stations , 2012, 2012 47th International Universities Power Engineering Conference (UPEC).

[3]  Mehdi Etezadi-Amoli,et al.  Rapid-Charge Electric-Vehicle Stations , 2010, IEEE Transactions on Power Delivery.

[4]  Mahmoud-Reza Haghifam,et al.  Simultaneus placement of conventional and renewable distributed generation using fuzzy multiobjective optimization , 2012 .

[5]  Yong Fu,et al.  Reliability assessment of power systems considering the large-scale PHEV integration , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[6]  Felix F. Wu,et al.  Network reconfiguration in distribution systems for loss reduction and load balancing , 1989 .

[7]  K. Schneider,et al.  Impact assessment of plug-in hybrid vehicles on pacific northwest distribution systems , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[8]  Mohammad A. S. Masoum,et al.  Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile , 2011, IEEE Transactions on Smart Grid.

[9]  C. Lin,et al.  Optimal switching placement for customer interruption cost minimization , 2006, 2006 IEEE Power Engineering Society General Meeting.

[10]  OPTIMAL DG ALLOCATION IN DISTRIBUTION NETWORK USING STRENGTH PARETO MULTI-OBJECTIVE OPTIMIZATION APPROACH , 2011 .

[11]  Praveen Kumar,et al.  Implementation of Vehicle to Grid Infrastructure Using Fuzzy Logic Controller , 2012, IEEE Transactions on Smart Grid.

[12]  Ali Elkamel,et al.  Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations , 2010, IEEE Transactions on Industrial Electronics.