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Energies
Volume 17
Issue 13
10.3390/en17133124
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

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

by
Zheng Shi
1,*,
Haixiao Zhu
2,
Haibo Zhao
1,
Peng Wang
1,
Yan Liang
1,3,
Kaikai Wang
1,
Jie Chen
1,
Xiaoming Zheng
1 and
Hongli Liu
1
1
Economic and Technical Research Institute of State Grid Shanxi Electric Power Company, Taiyuan 030000, China
2
School of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China
3
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 100000, China
*
Author to whom correspondence should be addressed.
Energies 2024, 17(13), 3124; https://doi.org/10.3390/en17133124
Submission received: 18 May 2024 / Revised: 15 June 2024 / Accepted: 21 June 2024 / Published: 25 June 2024
(This article belongs to the Special Issue Optimal Planning and Operation in RES-Rich Power Systems under Electricity and Carbon Emission Market Environment)
Versions Notes

Abstract

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: virtual power plant; emergency frequency control; system frequency response model; parameter estimation virtual power plant; emergency frequency control; system frequency response model; parameter estimation

Share and Cite

MDPI and ACS Style

Shi, Z.; Zhu, H.; Zhao, H.; Wang, P.; Liang, Y.; Wang, K.; Chen, J.; Zheng, X.; Liu, H. Parameter Estimation Method for Virtual Power Plant Frequency Response Model Based on SLP. Energies 2024, 17, 3124. https://doi.org/10.3390/en17133124

AMA Style

Shi Z, Zhu H, Zhao H, Wang P, Liang Y, Wang K, Chen J, Zheng X, Liu H. Parameter Estimation Method for Virtual Power Plant Frequency Response Model Based on SLP. Energies. 2024; 17(13):3124. https://doi.org/10.3390/en17133124

Chicago/Turabian Style

Shi, Zheng, Haixiao Zhu, Haibo Zhao, Peng Wang, Yan Liang, Kaikai Wang, Jie Chen, Xiaoming Zheng, and Hongli Liu. 2024. "Parameter Estimation Method for Virtual Power Plant Frequency Response Model Based on SLP" Energies 17, no. 13: 3124. https://doi.org/10.3390/en17133124

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