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| Data-driven adaptive distributed optimal disturbance rejection control of frequency regulation in nonlinear power systems |
| ChanghuiYu1,XiaoQi1,WeixiongWu1,HuiDeng1,MingDu2,WenguangZhang2,TianyuWang3 |
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| (1 Energy and Electricity Research Center, Jinan University, Zhuhai 519070, Guangdong, China;2 State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;3 Electric Power Research Institute, State Grid Zhejiang Electric Power Co., Ltd, Hangzhou 310000, China) |
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| 摘要: |
| With the increasing penetration of renewable energy resources in power systems, conventional timescale separated load frequency control (LFC) and economic dispatch may degrade frequency performance and reduce economic efficiency. This paper proposes a novel data-driven adaptive distributed optimal disturbance rejection control (DODRC) method for real-time economic LFC problem in nonlinear power systems. Firstly, a basic DODRC method is proposed by integrating the active disturbance rejection control method and the partial primal–dual algorithm. Then, to deal with the tie-line power flow constraints, the logarithmic barrier function is employed to reconstruct the Lagrange function to obtain the constrained DODRC method. By analyzing the sensitivity of the uncertain parameters of power systems, a data-driven adaptive DODRC method is finally proposed with a neural network. The effectiveness of the proposed method is demonstrated by experimental results using real-time equipment. |
| 关键词: Load frequency control · Economic dispatch · Active disturbance rejection control · Tie-line thermal constraints · Uncertain parameters |
| DOI：https://doi.org/10.1007/s11768-025-00270-w |
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| 基金项目:This work was supported in part by the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources under Grant LAPS24009, in part by the Guangdong Basic and Applied Basic Research Foundation under Grant 2021A1515110016 and in part by the National Natural Science Foundation of China under Grant 52206009. |
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| Data-driven adaptive distributed optimal disturbance rejection control of frequency regulation in nonlinear power systems |
| Changhui Yu1,Xiao Qi1,Weixiong Wu1,Hui Deng1,Ming Du2,Wenguang Zhang2,Tianyu Wang3 |
| (1 Energy and Electricity Research Center, Jinan University, Zhuhai 519070, Guangdong, China;2 State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China;3 Electric Power Research Institute, State Grid Zhejiang Electric Power Co., Ltd, Hangzhou 310000, China) |
| Abstract: |
| With the increasing penetration of renewable energy resources in power systems, conventional timescale separated load frequency control (LFC) and economic dispatch may degrade frequency performance and reduce economic efficiency. This paper proposes a novel data-driven adaptive distributed optimal disturbance rejection control (DODRC) method for real-time economic LFC problem in nonlinear power systems. Firstly, a basic DODRC method is proposed by integrating the active disturbance rejection control method and the partial primal–dual algorithm. Then, to deal with the tie-line power flow constraints, the logarithmic barrier function is employed to reconstruct the Lagrange function to obtain the constrained DODRC method. By analyzing the sensitivity of the uncertain parameters of power systems, a data-driven adaptive DODRC method is finally proposed with a neural network. The effectiveness of the proposed method is demonstrated by experimental results using real-time equipment. |
| Key words: Load frequency control · Economic dispatch · Active disturbance rejection control · Tie-line thermal constraints · Uncertain parameters |
