Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation
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 quanti...
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| Format: | Article |
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MDPI AG
2018-10-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/10/1957 |
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| author | Xin Jiang Guoliang Nan Hao Liu Zhimin Guo Qingshan Zeng Yang Jin |
| author_facet | Xin Jiang Guoliang Nan Hao Liu Zhimin Guo Qingshan Zeng Yang Jin |
| author_sort | Xin Jiang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T12:55:42Z |
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| id | doaj.art-72d43055c52a4bff989c756167e2e67d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-21T12:55:42Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-72d43055c52a4bff989c756167e2e67d2022-12-21T19:03:20ZengMDPI AGApplied Sciences2076-34172018-10-01810195710.3390/app8101957app8101957Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services CompensationXin Jiang0Guoliang Nan1Hao Liu2Zhimin Guo3Qingshan Zeng4Yang Jin5School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaState Grid Henan Comprehensive Energy Service Company Limited, Zhengzhou 450052, ChinaState Grid Henan Comprehensive Energy Service Company Limited, Zhengzhou 450052, ChinaHenan EPRI Hitech Group Company Limited, Zhengzhou 450052, ChinaSchool of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaSchool of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, ChinaAn 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.http://www.mdpi.com/2076-3417/8/10/1957large-scale wind farmauxiliary services compensationbattery energy storage systemoptimal capacityequivalent loss of cycle life |
| spellingShingle | Xin Jiang Guoliang Nan Hao Liu Zhimin Guo Qingshan Zeng Yang Jin Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation Applied Sciences large-scale wind farm auxiliary services compensation battery energy storage system optimal capacity equivalent loss of cycle life |
| title | Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation |
| title_full | Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation |
| title_fullStr | Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation |
| title_full_unstemmed | Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation |
| title_short | Optimization of Battery Energy Storage System Capacity for Wind Farm with Considering Auxiliary Services Compensation |
| title_sort | optimization of battery energy storage system capacity for wind farm with considering auxiliary services compensation |
| topic | large-scale wind farm auxiliary services compensation battery energy storage system optimal capacity equivalent loss of cycle life |
| url | http://www.mdpi.com/2076-3417/8/10/1957 |
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