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Data-driven load frequency control for multi-area interconnected power system with wind penetration under power market
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Yiming Zeng1, Xuhui Bu1, Yanling Yin2
Renewable Energy Resources | 2025, 43(5) : 673 - 680
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Renewable Energy Resources | 2025, 43(5): 673-680
Data-driven load frequency control for multi-area interconnected power system with wind penetration under power market
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Yiming Zeng1, Xuhui Bu1, Yanling Yin2
Affiliations
  • 1 School of Electrical Engineering and Automation, Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic University Jiaozuo 454003 China
  • 2 Center for Energy Economics, School of Business Administration Henan Polytechnic University Jiaozuo 454003 China
Outline
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With the deregulation of the power sector, the power exchange between regions of the power system becomes more frequent, and the stability of the new energy power system is also affected. In order to solve the regional power market power trading and denial of service attacks on the interference of wind power system, a datadriven load frequency control method is designed in this paper. An improved modelfree adaptive control algorithm is designed by collecting the input and output data and estimating the pseudopartial derivative using the compact form dynamic linearization, the antisaturation compensation control algorithm is introduced to solve the output disfollowing problem caused by input saturation, and the stability of the control algorithm is proved theoretically. Finally, taking threeregion wind power system as an example, the validity of the proposed algorithm is verified by MATLAB simulation.

power market  /  wind power system  /  load frequency control  /  model-free adaptive control
Yiming Zeng, Xuhui Bu, Yanling Yin. Data-driven load frequency control for multi-area interconnected power system with wind penetration under power market[J]. Renewable Energy Resources, 2025 , 43 (5) : 673 -680 .
Year 2025 volume 43 Issue 5
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  • Receive Date:2024-01-15
  • Online Date:2025-07-16
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  • Received:2024-01-15
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Affiliations
    1 School of Electrical Engineering and Automation, Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic University Jiaozuo 454003 China
    2 Center for Energy Economics, School of Business Administration Henan Polytechnic University Jiaozuo 454003 China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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