Stochastic coordinated operation of wind and battery energy storage system considering battery degradation

Grid-scale battery energy storage systems (BESSs) are promising to solve multiple problems for future power systems. Due to the limited lifespan and high cost of BESS, there is a cost-benefit trade-off between battery effort and operational performance. Thus, we develop a battery degradation model t...

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Bibliographic Details
Published inJournal of modern power systems and clean energy Vol. 4; no. 4; pp. 581 - 592
Main Authors WANG, Ying, ZHOU, Zhi, BOTTERUD, Audun, ZHANG, Kaifeng, DING, Qia
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
IEEE
Subjects
Battery degradation
Battery energy storage system (BESS)
Electrical Machines and Networks
Energy
Energy Systems
Power Electronics
Renewable and Green Energy
Rolling optimization
Special Section on Energy Storage System and Operational Flexibility in Power Systems
Stochastic programming
Wind power
Battery degradation
Wind power
Rolling optimization
Battery energy storage system (BESS)
Stochastic programming
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Summary:Grid-scale battery energy storage systems (BESSs) are promising to solve multiple problems for future power systems. Due to the limited lifespan and high cost of BESS, there is a cost-benefit trade-off between battery effort and operational performance. Thus, we develop a battery degradation model to accurately represent the battery degradation and related cost during battery operation and cycling. A linearization method is proposed to transform the developed battery degradation model into the mixed integer linear programming (MILP) optimization problems. The battery degradation model is incorporated with a hybrid deterministic/stochastic look-ahead rolling optimization model of wind-BESS bidding and operation in the real-time electricity market. Simulation results show that the developed battery degradation model is able to effectively help to extend the battery cycle life and make more profits for wind-BESS. Moreover, the proposed rolling look-ahead operational optimization strategy can utilize the updated wind power forecast, thereby also increase the wind-BESS profit.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2196-5625
2196-5420
DOI:10.1007/s40565-016-0238-z