Energies (Jun 2024)

Parameter Estimation Method for Virtual Power Plant Frequency Response Model Based on SLP

  • Zheng Shi,
  • Haixiao Zhu,
  • Haibo Zhao,
  • Peng Wang,
  • Yan Liang,
  • Kaikai Wang,
  • Jie Chen,
  • Xiaoming Zheng,
  • Hongli Liu

DOI
https://doi.org/10.3390/en17133124
Journal volume & issue
Vol. 17, no. 13
p. 3124

Abstract

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In adapting to the double-high development trend of high-voltage direct current (HVDC) receiving-end power systems and solving optimization problems in emergency frequency control (EFC) supporting virtual power plants (VPPs) in large-scale power systems, a parameter estimation method for a VPP frequency response model based on a successive linear programming (SLP) method is proposed. First, a “centralized/decentralized” hierarchical control architecture for VPP participation in EFC is designed. Second, the frequency response characteristics of multiple flexible resources are scientifically analyzed, and the system frequency response (SFR) model and equivalent model of VPP are constructed. Subsequently, parameter estimation of the VPP frequency response model is carried out based on the SLP method, aiming to balance the accuracy and computational efficiency of the model. Finally, the effectiveness of the proposed methodology is verified by using PSD-BPA to simulate and test the three-zone HVDC recipient area grid.

Keywords