Comprehensive Control Strategy for Hybrid Energy Storage System Participating in Grid Primary Frequency Regulation

被引:0
作者
Jiang, Haorui [1 ]
Han, Kuihua [1 ]
Bao, Weiyu [2 ]
Li, Yahui [1 ]
机构
[1] Shandong Univ, Shandong Engn Res Ctr High Efficiency Energy Stora, Jinan 250061, Peoples R China
[2] Shandong Univ, Sch Elect & Engn, Jinan 250061, Peoples R China
关键词
adaptive control strategy; hybrid energy storage system; primary frequency regulation; virtual droop control; virtual inertia control; WIND;
D O I
10.3390/en18102423
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The increasing integration of renewable energy sources has posed significant challenges to grid frequency stability. To maximize the advantages of energy storage in primary frequency regulation, this paper proposes a comprehensive control strategy for a hybrid energy storage system (HESS) based on supercapacitor battery. Firstly, considering the characteristics of the HESS and different control strategies, the battery responds to virtual droop control to reduce frequency deviation, while the supercapacitor responds to inertia control to suppress frequency drops and facilitate frequency recovery. Simultaneously, a reasonable dynamic dead zone is configured to prevent frequent actions of the battery and thermal unit while allowing flexible adjustments according to the load condition. Thirdly, an algebraic S-curve-based adaptive droop coefficient incorporating SOC is proposed, while the inertia coefficient additionally considers load type, enhancing adaptability. Furthermore, to better maintain the battery's SOC, an improved adaptive recovery strategy within the battery dead zone is proposed, considering both SOC recovery requirements and system frequency deviation constraints. Finally, a simulation validation was conducted in MATLAB/Simulink. Compared to the conventional strategy, the proposed control strategy reduces the frequency drop rate by 17.43% under step disturbance. Under compound disturbances, the RMS of frequency deviation decreases by 13.34%, and the RMS of battery SOC decreases by 68.61%. The economic benefit of this strategy is 3.212 times that of the single energy storage scheme. The results indicate that the proposed strategy effectively alleviates sudden frequency disturbances, suppresses frequency fluctuations, and reduces battery output while maintaining the SOC of both the supercapacitor and the battery, thereby extending the battery lifespan and improving economic performance.
引用
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页数:32
相关论文
共 65 条
[1]  
[Anonymous], 2008, Power QualityFrequency Deviation for Power System
[2]  
Bi L., 2020, Masters Thesis
[3]   A Two-Layer Optimization Strategy for Battery Energy Storage Systems to Achieve Primary Frequency Regulation of Power Grid [J].
Chen, Wei ;
Sun, Na ;
Ma, Zhicheng ;
Liu, Wenfei ;
Dong, Haiying .
ENERGIES, 2023, 16 (06)
[4]   SoC Feedback Control for Wind and ESS Hybrid Power System Frequency Regulation [J].
Dang, Jie ;
Seuss, John ;
Suneja, Luv ;
Harley, Ronald G. .
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2014, 2 (01) :79-86
[5]   Dynamic Frequency Control Support by Energy Storage to Reduce the Impact of Wind and Solar Generation on Isolated Power System's Inertia [J].
Delille, Gauthier ;
Francois, Bruno ;
Malarange, Gilles .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2012, 3 (04) :931-939
[6]  
Deng Xia, 2018, High Voltage Engineering, V44, P1157, DOI 10.13336/j.1003-6520.hve.20180329015
[7]   Review of RoCoF Estimation Techniques for Low-Inertia Power Systems [J].
Deng, Xiaoyu ;
Mo, Ruo ;
Wang, Pengliang ;
Chen, Junru ;
Nan, Dongliang ;
Liu, Muyang .
ENERGIES, 2023, 16 (09)
[8]   Frequency regulation in a hybrid renewable power grid: an effective strategy utilizing load frequency control and redox flow batteries [J].
Elkasem, Ahmed H. A. ;
Kamel, Salah ;
Khamies, Mohamed ;
Nasrat, Loai .
SCIENTIFIC REPORTS, 2024, 14 (01)
[9]   Adaptive Control Strategy of Energy Storage System Participating in Primary Frequency Regulation [J].
Fang, Chaoxiong ;
Tang, Yuchen ;
Ye, Rong ;
Lin, Zhangsui ;
Zhu, Zhenshan ;
Wen, Buying ;
Ye, Chengtao .
PROCESSES, 2020, 8 (06)
[10]  
Fang H.Y., 2022, Masters Thesis