Model‑free adaptive frequency control of renewable energy power systems with participation of large‑scale air conditioner loads
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(Marketing Service Center, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210036, China)

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TM464

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    Abstract:

    Aiming at the problem of large?scale air conditioner loads participating in the frequency regulation of renewable energy power systems, a frequency regulation method based on model?free adaptive control (MFAC) is proposed. Firstly, a multiarea interconnected power grid model including large?scale wind power generation is established. The wind power generation system participates in power grid frequency regulation through virtual inertia control. Secondly, the equivalent thermodynamic parameter (ETP) model is used to build fixed?frequency and variable?frequency air conditioner models, and the frequency regulation model of air conditioner loads is established through large?scale air conditioner aggregation. Then, the automatic generation controller (AGC) and air conditioner controller (ACC) of multiarea interconnected power grid are designed based on the MFAC algorithm, of which the advantages are completely data?driven, no model parameters, strong anti?interference ability and suitable for nonlinear time?varying systems, thereby realizing the control of large?scale air conditioner loads participating in the frequency regulation of renewable energy power systems. Simulation studies are carried out in a three?area interconnected power system. The simulation results obtained under the conditions of load disturbance, wind power fluctuation and ambient temperature change show that the proposed MFAC frequency control algorithm can control large?scale air conditioner loads and effectively suppress the frequency fluctuation caused by wind powers and load disturbances.

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左 强,李 波,杨世海.大规模空调负荷参与新能源电力系统调频的无模型自适应控制方法[J].电力科学与技术学报英文版,2023,38(2):224-231. ZUO Qiang, LI Bo, YANG Shihai. Model‑free adaptive frequency control of renewable energy power systems with participation of large‑scale air conditioner loads[J]. Journal of Electric Power Science and Technology,2023,38(2):224-231.

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  • Received:
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  • Online: June 29,2023
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