Premium
Optimal fixed charge–rate coordination of plug‐in electric vehicle incorporating capacitor and OLTC switching to minimize power loss and voltage deviation
Author(s) -
Rahman Mir Toufikur,
Othman Mohamadariff,
Mokhlis Hazlie,
Muhammad Munir Azam,
Bouchekara Houssem R. E. H.
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22652
Subject(s) - capacitor , voltage , electric vehicle , particle swarm optimization , control theory (sociology) , power (physics) , automotive engineering , grid , electrical engineering , computer science , engineering , control (management) , mathematics , physics , geometry , quantum mechanics , machine learning , artificial intelligence
Integration of plug‐in electric vehicles (PEVs) in a smart grid largely deteriorates the performances of the system. This paper proposes a two‐stage optimization approach to optimize customer satisfaction as well as grid performances when fixed charge–rate PEV coordination, switching capacitor and on‐load tap charger (OLTC) are coordinated simultaneously. To coordinate PEV charging, capacitor and OLTC, an efficient binary particle swarm optimization (BPSO) has been applied. The main consideration in this optimal coordination is to minimize the daily power loss and voltage deviation while maximizing customer satisfaction. Simulation results are compared with the variable charge–rate coordination that is proposed previously. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.