Frequency-constrained Unit Commitments with Linear Rules Extracted from Simulation Results Considering Regulations from Battery Storage

被引:8
|
作者
Zhang, Jiawei [1 ]
Chen, Zhichao [2 ]
Zhang, Ning [1 ]
Zhang, Xianfeng [2 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
[2] China Three Gorges Corp, Sci & Technol Res Inst, Beijing 100038, Peoples R China
关键词
Frequency regulation; unit commitment; machine learning; rule extraction; primary frequency regulation; energy storage; support vector machine; ENERGY-STORAGE; POWER; MODEL; PENETRATION; SYSTEMS; MARKET;
D O I
10.35833/MPCE.2022.000522
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Heavy renewable penetrations and high-voltage cross-regional transmission systems reduce the inertia and critical frequency stability of power systems after disturbances. Therefore, the power system operators should ensure the frequency nadirs after possible disturbances are within the set restriction, e. g., 0.20 Hz. Traditional methods utilize linearized and simplified control models to quantify the frequency nadirs and achieve frequency-constrained unit commitments (FCUCs). However, the simplified models are hard to depict the frequency responses of practical units after disturbances. Also, they usually neglect the regulations from battery storage. This paper achieves FCUCs with linear rules extracted from massive simulation results. We simulate the frequency responses on typical thermal-hydro-storage systems under diverse unit online conditions. Then, we extract the rules of frequency nadirs after disturbances merely with linear support vector machine to evaluate the frequency stability of power systems. The algorithm holds a high accuracy in a wide range of frequency restrictions. Finally, we apply the rules to three typical cases to show the influences of frequency constraints on unit commitments.
引用
收藏
页码:1041 / 1052
页数:12
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