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Article

Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation

1
School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
2
State Grid Henan Comprehensive Energy Service Company Limited, Zhengzhou 450052, China
3
Henan EPRI Hitech Group Company Limited, Zhengzhou 450052, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(10), 1957; https://doi.org/10.3390/app8101957
Received: 27 September 2018 / Revised: 10 October 2018 / Accepted: 15 October 2018 / Published: 17 October 2018
(This article belongs to the Special Issue Clean Energy and Fuel (Hydrogen) Storage)
An optimal sizing model of the battery energy storage system (BESS) for large-scale wind farm adapting to the scheduling plan is proposed in this paper. Based on the analysis of the variability and uncertainty of wind output, the cost of auxiliary services of systems that are eased by BESS is quantized and the constraints of BESS accounting for the effect of wind power on system dispatching are proposed. Aiming to maximum the benefits of wind-storage union system, an optimal capacity model considering BESS investment costs, wind curtailment saving, and auxiliary services compensation is established. What’s more, the effect of irregular charge/discharge process on the life cycle of BESS is considered into the optimal model by introducing an equivalent loss of the cycle life. Finally, based on the typical data of a systems, results show that auxiliary services compensation can encourage wind farm configuration BESS effectively. Various sensitivity analyses are performed to assess the effect of the auxiliary services compensation, on-grid price of wind power, investment cost of BESS, cycle life of BESS, and wind uncertainty reserve level of BESS on this optimal capacity. View Full-Text
Keywords: large-scale wind farm; auxiliary services compensation; battery energy storage system; optimal capacity; equivalent loss of cycle life large-scale wind farm; auxiliary services compensation; battery energy storage system; optimal capacity; equivalent loss of cycle life
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MDPI and ACS Style

Jiang, X.; Nan, G.; Liu, H.; Guo, Z.; Zeng, Q.; Jin, Y. Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation. Appl. Sci. 2018, 8, 1957. https://doi.org/10.3390/app8101957

AMA Style

Jiang X, Nan G, Liu H, Guo Z, Zeng Q, Jin Y. Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation. Applied Sciences. 2018; 8(10):1957. https://doi.org/10.3390/app8101957

Chicago/Turabian Style

Jiang, Xin, Guoliang Nan, Hao Liu, Zhimin Guo, Qingshan Zeng, and Yang Jin. 2018. "Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation" Applied Sciences 8, no. 10: 1957. https://doi.org/10.3390/app8101957

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