Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life

Large-scale battery storage will become an essential part of the future smart grid. This paper investigates the optimal bidding strategy for battery storage in power markets. Battery storage could increase its profitability by providing fast regulation service under a performance-based regulation me...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2016-09, Vol.7 (5), p.2359-2367
Main Authors: Guannan He, Qixin Chen, Chongqing Kang, Pinson, Pierre, Qing Xia
Format: Article
Language:English
Subjects:
Batteries
Battery cycle life
Battery cycles
battery storage
Computational modeling
Control
Electric batteries
Energy storage
Markets
optimal bidding strategy
Optimization
performance-based regulation (PBR)
Power markets
Programmable logic controllers
Service life
Spinning
Strategy
US Department of Defense
Wellness programs
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Summary:Large-scale battery storage will become an essential part of the future smart grid. This paper investigates the optimal bidding strategy for battery storage in power markets. Battery storage could increase its profitability by providing fast regulation service under a performance-based regulation mechanism, which better exploits a battery's fast ramping capability. However, battery life might be decreased by frequent charge-discharge cycling, especially when providing fast regulation service. It is profitable for battery storage to extend its service life by limiting its operational strategy to some degree. Thus, we incorporate a battery cycle life model into a profit maximization model to determine the optimal bids in day-ahead energy, spinning reserve, and regulation markets. Then a decomposed online calculation method to compute cycle life under different operational strategies is proposed to reduce the complexity of the model. This novel bidding model would help investor-owned battery storages better decide their bidding and operational schedules and investors to estimate the battery storage's economic viability. The validity of the proposed model is proven by case study results.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2015.2424314