LAPSE:2023.17129
Published Article
LAPSE:2023.17129
Energy Storage Economic Optimization Scheduling Method for Multi-Scene Demand of Peak and Frequency Modulation
Wen Wei, Yali Wang, Shuangfeng Dai, Changqing Chen, Lei Chen
March 6, 2023
Abstract
Energy storage (ES) only contributes to a single-scene (peak or frequency modulation (FM)) control of the power grid, resulting in low utilization rate and high economic cost. Herein, a coordinated control method of peak modulation and FM based on the state of ES under different time scales is proposed. Firstly, for monotone peak and FM control scenarios, the ES configuration and scheduling model is constructed with the goal of maximizing net profit. Secondly, to further improve the ES utilization rate and optimize the operating cost of ES, a cooperative control method of peak modulation and FM is proposed. This method can realize the switch between peak modulation and FM control of ES and improve the ES utilization rate and system economy. Finally, the simulation results show that, compared with that of mono-peak and single-FM control, the ES efficiency of the peak-FM multiscenario optimization scheduling method is improved by 16.25% and 37.29%, respectively. The annual net income is increased by €28,021.50, the investment recovery period is shortened by 0.27 years, and the ES configuration economy is effectively improved.
Keywords
coordinated control, economic optimization model, ES, FM, peak modulation
Suggested Citation
Wei W, Wang Y, Dai S, Chen C, Chen L. Energy Storage Economic Optimization Scheduling Method for Multi-Scene Demand of Peak and Frequency Modulation. (2023). LAPSE:2023.17129
Author Affiliations
Wei W: College of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China; College of Economics and Management, Hunan University of Science and Technology, Yueyang 414000, China
Wang Y: College of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China
Dai S: College of Economics and Management, Changsha University of Science and Technology, Changsha 410076, China
Chen C: College of Electrical and Information Engineering, Hunan University, Changsha 410076, China
Chen L: College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China
Journal Name
Energies
Volume
14
Issue
24
First Page
8605
Year
2021
Publication Date
2021-12-20
ISSN
1996-1073
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Original Submission
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PII: en14248605, Publication Type: Journal Article
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LAPSE:2023.17129
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https://doi.org/10.3390/en14248605
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