LAPSE:2023.34840
Published Article
LAPSE:2023.34840
Research on Real-Time Dynamic Allocation Strategy of Energy Storage Battery Participating in Secondary Frequency Modulation of Distribution Network
Yufei Rao, Gaojun Meng, Feng Zhang, Yue Chang, Junjun Xu, Congcong Qian
April 28, 2023
With the rapid growth of the power grid load and the continuous access of impact load, the range of power system frequency fluctuation has increased sharply, rendering it difficult to meet the demand for power system frequency recovery through primary frequency modulation alone. Given this headache, an optimal control strategy for battery energy storage participating in secondary frequency regulation of the power grid is proposed in this paper based on a double-layer structure. Besides, a coordinated control framework is constructed for energy storage battery joint units engaged in automatic generation control (AGC). At the dispatching level, the power allocation principle is set to coordinate the fast and slow resources of energy storage and conventional thermal power units, and the power decoupling of the two types of frequency modulation (FM) resources is completed. At the system level, a power allocation model representing the real-time frequency modulation capability of energy storage is established to realize the division of frequency modulation responsibilities of each unit and state of charge (SOC) consistency management, and the proposed control strategy is simulated and verified to provide a reference for the energy storage battery to participate in the secondary frequency modulation design of the power grid.
Keywords
coordinated control, dynamic allocation, energy storage battery, power decoupling, secondary frequency modulation
Suggested Citation
Rao Y, Meng G, Zhang F, Chang Y, Xu J, Qian C. Research on Real-Time Dynamic Allocation Strategy of Energy Storage Battery Participating in Secondary Frequency Modulation of Distribution Network. (2023). LAPSE:2023.34840
Author Affiliations
Rao Y: Electric Power Research Institute, State Grid Henan Electric Power Co., Ltd., Zhengzhou 450015, China
Meng G: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211100, China
Zhang F: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211100, China
Chang Y: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211100, China
Xu J: College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Qian C: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211100, China
Journal Name
Energies
Volume
16
Issue
8
First Page
3399
Year
2023
Publication Date
2023-04-12
Published Version
ISSN
1996-1073
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PII: en16083399, Publication Type: Journal Article
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doi:10.3390/en16083399
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Apr 28, 2023
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