LAPSE:2023.19898
Published Article
LAPSE:2023.19898
Optimal Sizing of Energy Storage System for Operation of Wind Farms Considering Grid-Code Constraints
Van-Hai Bui, Xuan Quynh Nguyen, Akhtar Hussain, Wencong Su
March 9, 2023
Transmission system operators impose several grid-code constraints on large-scale wind farms to ensure power system stability. These constraints may reduce the net profit of the wind farm operators due to their inability to sell all the power. The violation of these constraints also results in an imposition of penalties on the wind farm operators. Therefore, an operation strategy is developed in this study for optimizing the operation of wind farms using an energy storage system. This facilitates wind farms in fulfilling all the grid-code constraints imposed by the transmission system operators. Specifically, the limited power constraint and the reserve power constraint are considered in this study. In addition, an optimization algorithm is developed for optimal sizing of the energy storage system, which reduces the total operation and investment costs of wind farms. All parameters affecting the size of the energy storage systems are also analyzed in detail. This analysis allows the wind farm operators to find out the optimal size of the energy storage systems considering grid-code constraints and the local information of wind farms.
Keywords
grid-code constraints, Optimization, sizing of energy storage system, wind farm operation
Suggested Citation
Bui VH, Nguyen XQ, Hussain A, Su W. Optimal Sizing of Energy Storage System for Operation of Wind Farms Considering Grid-Code Constraints. (2023). LAPSE:2023.19898
Author Affiliations
Bui VH: College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI 48128, USA [ORCID]
Nguyen XQ: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; Faculty of Electrical Engineering Technology, Hanoi University of Industry, Hanoi 100000, Vietnam
Hussain A: Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2G2, Canada
Su W: College of Engineering and Computer Science, University of Michigan-Dearborn, Dearborn, MI 48128, USA
Journal Name
Energies
Volume
14
Issue
17
First Page
5478
Year
2021
Publication Date
2021-09-02
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14175478, Publication Type: Journal Article
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LAPSE:2023.19898
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doi:10.3390/en14175478
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