Day-ahead, intraday, and real-time coordinated optimization strategy for wind-hybrid energy storage systems in joint markets
DOI：10.19783/j.cnki.pspc.260371
Key Words:wind-hybrid energy storage system  joint market  day-ahead, intraday, and real-time coordinated optimization  life degradation
Author NameAffiliation
YAN Wen School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China 
WANG Ziyao School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China 
YU Tao School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China 
ZENG Jiang School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China 
PAN Zhenning School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China 
WU Yufeng School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China 
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Abstract:To address the issues of insufficient coordination between market scheduling and real-time operation of wind-hybrid energy storage systems in joint markets, as well as the accelerated battery degradation caused by frequent regulation, this paper proposes a day-ahead, intraday, and real-time coordinated optimization strategy. First, the operation mechanism of the wind-hybrid energy storage systems participating in joint markets is analyzed, and a multi-timescale coordination framework is established. Second, an online rain flow counting model with a trend memory variable is established, and the equivalent battery life degradation is converted into linear constraints to be embedded in optimization decisions. Then, a coordinated optimization model is established. The day-ahead layer optimizes the bidding plans for energy and regulation capacity; the intraday layer performs rolling corrections based on updated forecasts; and the real-time layer dynamically allocates power between the battery and the supercapacitor by considering automatic generation control commands, frequency deviations, and the state-of-charge of energy storages. Case studies show that the proposed strategy can progressively transform market schedules into real-time power allocation, reduce excessive battery use, and improve the operating revenue of the wind-hybrid energy storage system participating in joint markets.
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