Title :
Maximizing the penetration of plug-in electric vehicles in distribution network
Author :
Junhui Zhao ; Yang Wang ; Caisheng Wang ; Feng Lin ; Le Yi Wang
Author_Institution :
Wayne State Univ., Detroit, MI, USA
Abstract :
The increasing number of plug-in electric vehicles (PEVs) will post new challenges to the existing power grid, as they as a whole will become a substantially large load to the power grid when they are being charged. In this paper, an algorithm is proposed to maximize the injection of PEVs in distribution networks (DNs) without violating power limitations and causing voltage problems. This method is able to optimally calculate the maximum allowed numbers of PEVs in DNs based on the system parameters and load conditions. Voltage stability index, power supply limits, thermal line limits, and power balance equations are taken into account as the constraints of the optimization algorithm. This method is able to provide a clear reference to distribution network operators (DNO) to manage the charging of the PEVs in DNs.
Keywords :
distribution networks; electric vehicles; optimisation; power grids; voltage regulators; DN; PEV injection maximization; distribution network operators; load conditions; optimization algorithm; plug-in electric vehicle penetration maximization; power balance equations; power grid; power limitations; power supply limits; system parameters; thermal line limits; transportation electrification; voltage problems; voltage stability index; Circuit stability; Indexes; Optimization; Power system stability; Stability criteria; Thermal stability; Active Management; Distribution Network; Optimization; Plug-In Electric Vehicles;
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2013 IEEE
Conference_Location :
Detroit, MI
Print_ISBN :
978-1-4799-0146-3
DOI :
10.1109/ITEC.2013.6573509