TY - GEN
T1 - Optimal schedule of plug in electric vehicles in smart grid with constrained parking lots
AU - Panwar, Lokesh Kumar
AU - Srikanth Reddy, K.
AU - Verma, Ashu
AU - Panigrahi, B. K.
AU - Kumar, Rajesh
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/5
Y1 - 2016/10/5
N2 - Global warming and climate changes propelled many clean technologies across various fields. The electrification of transportation is considered to be one of the key approaches that can curtail the pollution levels prevailing across global fraternity. Electric vehicle (EV) technologies gained substantial importance in this context. The versatility of EV acting as source and sink in a power system projected many challenges. This paper examines one of such challenge i.e., optimal charge-discharge scheduling of EV along with conventional thermal unit commitment (UC). A modified particle swarm optimization (MPSO) is developed to solve the optimal schedule of EV. In addition, a binary version of MPSO is also developed to determine commitment schedule of thermal units. Results confirm the effectiveness of MPSO in solving UC problem compared to some of the benchmark optimization approaches used to solve UC problem.
AB - Global warming and climate changes propelled many clean technologies across various fields. The electrification of transportation is considered to be one of the key approaches that can curtail the pollution levels prevailing across global fraternity. Electric vehicle (EV) technologies gained substantial importance in this context. The versatility of EV acting as source and sink in a power system projected many challenges. This paper examines one of such challenge i.e., optimal charge-discharge scheduling of EV along with conventional thermal unit commitment (UC). A modified particle swarm optimization (MPSO) is developed to solve the optimal schedule of EV. In addition, a binary version of MPSO is also developed to determine commitment schedule of thermal units. Results confirm the effectiveness of MPSO in solving UC problem compared to some of the benchmark optimization approaches used to solve UC problem.
KW - Constraint Parking Lots (CPL)
KW - Modern Electric Vehicle (MEV)
KW - Modified Partical swarm Optimization (MPSO) etc
KW - Unit Commitment (UC)
KW - Vehicle to Grid (V2G)
UR - http://www.scopus.com/inward/record.url?scp=84994070650&partnerID=8YFLogxK
U2 - 10.1109/ICPES.2016.7584080
DO - 10.1109/ICPES.2016.7584080
M3 - Conference contribution
AN - SCOPUS:84994070650
T3 - 2016 IEEE 6th International Conference on Power Systems, ICPS 2016
BT - 2016 IEEE 6th International Conference on Power Systems, ICPS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Power Systems, ICPS 2016
Y2 - 4 March 2016 through 6 March 2016
ER -
