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ZHAO Wenmeng, HUANG Haojiang, ZHU Jianquan, ZHOU Baorong, CHEN Jiajun, LUO Yuhao. Flexible Resource Cluster Response Based on Inner Approximate and Constraint Space Integration[J]. Power System Technology, 2023, 47(7): 2621-2629. DOI: 10.13335/j.1000-3673.pst.2022.1935
Citation: ZHAO Wenmeng, HUANG Haojiang, ZHU Jianquan, ZHOU Baorong, CHEN Jiajun, LUO Yuhao. Flexible Resource Cluster Response Based on Inner Approximate and Constraint Space Integration[J]. Power System Technology, 2023, 47(7): 2621-2629. DOI: 10.13335/j.1000-3673.pst.2022.1935

Flexible Resource Cluster Response Based on Inner Approximate and Constraint Space Integration

  • To meet the management requirements of the massive flexible resources, a flexible resource cluster response method based on the inner approximate and constraint space integration is proposed in this paper. First, the response characteristics of the energy storage, the thermostatically controlled load, and the electric vehicle charging piles are described based on the general energy storage model, and then formulated by a compact constraint space. Second, an inner approximate and Minkowski sum-based constraint space integration method is used to describe the overall response characteristics of the multiple flexible resources. Furthermore, a two-layer response strategy of the flexible resources is proposed, which not only provides an overall response strategy for each cluster, but also realizes the detailed response strategy for each flexible resource according to the mapping relationship between the individual and cluster characteristics. Finally, simulation results are employed to demonstrate the effeteness of the proposed method.
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