TY - JOUR
T1 - Market-oriented energy management of a hybrid wind-battery energy storage system via model predictive control with constraint optimizer
AU - Abdeltawab, Hussein Hassan
AU - Mohamed, Yasser Abdel Rady I.
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2015/11/1
Y1 - 2015/11/1
N2 - This paper presents a market-oriented energy management system (EMS) for a hybrid power system composed of a wind energy conversion system and a battery energy storage system (BESS). The EMS is designed as a real-time model predictive control (MPC) system. The EMS dispatches the BESS to achieve the maximum net profit from the deregulated electricity market. Furthermore, the EMS aims at expanding the BESS lifetime by applying typical and practical constraints in the MPC problem on both the daily number of cycles (DNC) and depth of discharge (DOD). The MPC constraint optimizer is designed to tune the lifetime constraints optimally. It guarantees the optimal economic profit by finding the optimal DNC and DOD to achieve the maximum market revenue from energy arbitrage with the minimal expended-life cost. The effectiveness of this work is verified by comparison with a conventional MPC used in previous works. Simulation is conducted using real wind power and market data in Alberta, Canada.
AB - This paper presents a market-oriented energy management system (EMS) for a hybrid power system composed of a wind energy conversion system and a battery energy storage system (BESS). The EMS is designed as a real-time model predictive control (MPC) system. The EMS dispatches the BESS to achieve the maximum net profit from the deregulated electricity market. Furthermore, the EMS aims at expanding the BESS lifetime by applying typical and practical constraints in the MPC problem on both the daily number of cycles (DNC) and depth of discharge (DOD). The MPC constraint optimizer is designed to tune the lifetime constraints optimally. It guarantees the optimal economic profit by finding the optimal DNC and DOD to achieve the maximum market revenue from energy arbitrage with the minimal expended-life cost. The effectiveness of this work is verified by comparison with a conventional MPC used in previous works. Simulation is conducted using real wind power and market data in Alberta, Canada.
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U2 - 10.1109/TIE.2015.2435694
DO - 10.1109/TIE.2015.2435694
M3 - Article
AN - SCOPUS:84944111903
SN - 0278-0046
VL - 62
SP - 6658
EP - 6670
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 11
M1 - 7110555
ER -