TY - GEN
T1 - Optimal centralized renewable energy transfer scheduling for electrical vehicles
AU - Arikan, Abdurrahman
AU - Jin, Ruofan
AU - Wang, Bing
AU - Han, Song
AU - Suh, Kyoungwon
AU - Zhang, Peng
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/3/17
Y1 - 2016/3/17
N2 - Plug-in hybrid electrical vehicles (PHEVs) that can use both gas and electricity have the potential to greatly reduce air pollution from vehicles. In this paper, we consider a bus system where the buses are PHEVs, and some charging points at the bus stops are connected to a central energy storage (CES) via underground cables. The CES is charged by renewable energy sources and the buses get electricity from the CES (and thus use renewable energy) through the charging points. Since the CES has limited capacity, the energy generated by the renewable energy sources will be wasted when it exceeds the capacity of the CES. On the other hand, since each bus has a battery, the buses naturally form a distributed energy network that can help to store the energy from the CES to reduce energy waste. We formulate and solve an optimization problem that determines the amount of energy that a bus charges or discharges at the charging points to improve effective load carrying capability at the CES while maximizing the total amount of renewable energy used by the buses. Simulation results demonstrate that our approach significantly outperforms a baseline strategy. In addition, our approach uses the batteries of the buses efficiently, and hence only a small battery at the CES is sufficient to realize most of the gains.
AB - Plug-in hybrid electrical vehicles (PHEVs) that can use both gas and electricity have the potential to greatly reduce air pollution from vehicles. In this paper, we consider a bus system where the buses are PHEVs, and some charging points at the bus stops are connected to a central energy storage (CES) via underground cables. The CES is charged by renewable energy sources and the buses get electricity from the CES (and thus use renewable energy) through the charging points. Since the CES has limited capacity, the energy generated by the renewable energy sources will be wasted when it exceeds the capacity of the CES. On the other hand, since each bus has a battery, the buses naturally form a distributed energy network that can help to store the energy from the CES to reduce energy waste. We formulate and solve an optimization problem that determines the amount of energy that a bus charges or discharges at the charging points to improve effective load carrying capability at the CES while maximizing the total amount of renewable energy used by the buses. Simulation results demonstrate that our approach significantly outperforms a baseline strategy. In addition, our approach uses the batteries of the buses efficiently, and hence only a small battery at the CES is sufficient to realize most of the gains.
UR - https://www.scopus.com/pages/publications/84964922326
U2 - 10.1109/SmartGridComm.2015.7436308
DO - 10.1109/SmartGridComm.2015.7436308
M3 - Conference contribution
AN - SCOPUS:84964922326
T3 - 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015
SP - 247
EP - 252
BT - 2015 IEEE International Conference on Smart Grid Communications, SmartGridComm 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Smart Grid Communications, SmartGridComm 2015
Y2 - 1 November 2015 through 5 November 2015
ER -