TY - JOUR
T1 - Myopic real-time decentralized charging management of plug-in hybrid electric vehicles
AU - Jalilzadeh Hamidi, R.
AU - Livani, H.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2017/2/1
Y1 - 2017/2/1
N2 - This paper proposes a decentralized control algorithm for charging management of Plug-in Hybrid Electric Vehicles (PHEVs) in distribution networks. The objectives of the proposed control algorithm are to mitigate PHEV integration challenges (e.g., over-currents and under-voltages in distribution networks) and to reduce the charging costs of PHEVs. The proposed algorithm adjusts the charging rates of PHEV chargers utilizing distributed cooperative control to prevent the network constraints (i.e., voltage and current limits) from being violated. It also determines the operating modes of the chargers (i.e., charging, discharging, or idle) using a decision making algorithm to increase the State Of Charges (SOCs) and decrease the charging costs only based on the current conditions of the distribution network. The proposed algorithm is evaluated on a modified IEEE 37-Node Test Feeder and the simulation studies are carried out using OpenDSS and MATLAB. The advantages and disadvantages of the proposed algorithm are discussed and compared with the exiting methods according to the simulation results.
AB - This paper proposes a decentralized control algorithm for charging management of Plug-in Hybrid Electric Vehicles (PHEVs) in distribution networks. The objectives of the proposed control algorithm are to mitigate PHEV integration challenges (e.g., over-currents and under-voltages in distribution networks) and to reduce the charging costs of PHEVs. The proposed algorithm adjusts the charging rates of PHEV chargers utilizing distributed cooperative control to prevent the network constraints (i.e., voltage and current limits) from being violated. It also determines the operating modes of the chargers (i.e., charging, discharging, or idle) using a decision making algorithm to increase the State Of Charges (SOCs) and decrease the charging costs only based on the current conditions of the distribution network. The proposed algorithm is evaluated on a modified IEEE 37-Node Test Feeder and the simulation studies are carried out using OpenDSS and MATLAB. The advantages and disadvantages of the proposed algorithm are discussed and compared with the exiting methods according to the simulation results.
KW - Distributed cooperative control
KW - Plug-in hybrid electric vehicle (PHEV)
KW - Smart micro-grid (SMG)
KW - Vehicle-to-grid (V2G)
UR - http://www.scopus.com/inward/record.url?scp=84996590073&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2016.11.002
DO - 10.1016/j.epsr.2016.11.002
M3 - Article
AN - SCOPUS:84996590073
SN - 0378-7796
VL - 143
SP - 522
EP - 532
JO - Electric Power Systems Research
JF - Electric Power Systems Research
ER -
