Xuemei Chen, Chao Lu, Peixuan Wu, et al. Aggregated Frequency Response Model of Regional System Considering Load Frequency Behaviors[J]. CSEE Journal of Power and Energy Systems, 2026, 12(5): 2328-2340.
DOI:
Xuemei Chen, Chao Lu, Peixuan Wu, et al. Aggregated Frequency Response Model of Regional System Considering Load Frequency Behaviors[J]. CSEE Journal of Power and Energy Systems, 2026, 12(5): 2328-2340.DOI: 10.17775/CSEEJPES.2022.05770.
Aggregated Frequency Response Model of Regional System Considering Load Frequency Behaviors
摘要
Abstract
With penetration of converter interfaced generation
assessment of inherent frequency stability support capability of regional power grids with rich loads and low inertia is becoming increasingly important for power system safety and stability. Considering the features of regional system frequency dynamics
we extend system equivalent frequency model to encompass load frequency behaviors that have been neglected in previous literature. We first propose an equivalent load frequency response model (LFR) to describe frequency behaviors of individual load in power system dynamics. Then
a regional system aggregated frequency response (RSAFR) model is conducted by gathering equivalent models of multiple generators and loads
during which accuracy of multi-load aggregation is proven by mathematical method. Simulation study illustrates loads have great impact on system frequency response
especially with reduction of synchronous generators in the regional system and LFR model can accurately represent composite load frequency behaviors. Furthermore
performance of the RSAFR model in terms of efficiency
accuracy
robustness
and adaptability is discussed. This work is important for furthering our understanding of the role of loads in frequency dynamics and offers a more complete model to describe the relationship between system frequency and active power imbalance.
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Related Author
Lipeng Zhang
Runjia Sun
Yutian Liu
Jiabing Hu
Zeren Guo
Jianhang Zhu
Yunhe Hou
Yingbiao Li
Related Institution
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University
State Key Laboratory of Advanced Electromagnetic Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology
Department of Electrical and Electronic Engineering, The University of Hong Kong
The University of Hong Kong Shenzhen Institute of Research and Innovation