System frequency response model and droop coefficient setting considering renewable energy participation in frequency regulation

The highly uncertain and uncontrollable power output of renewable energy sources (RES), when integrated into power systems at high penetration levels, reduces system inertia and introduces uncertain changes in system structure, parameters, and frequency response characteristics. This renders traditional frequency regulation analysis methods and frequency response models inapplicable, lacking a generalized model to describe renewable energy’s participation in frequency regulation. Thus, this paper proposes a method where RES utilize suitable means to reduce load, thereby contributing to frequency regulation. Furthermore, employing Virtual Synchronous Machine (VSM) technology, these renewable energy units emulate the inertia and droop characteristics of Synchronous Generators (SG), enabling their equivalent modeling alongside traditional generators within a single-machine aggregate model. An SFR (System Frequency Response) model integrating renewable energy’s frequency regulation has been established. This model enables the analysis of the relationships between the system’s equivalent droop coefficient and the frequency nadir, nadir time, and quasi-steady-state point. Furthermore, the required equivalent droop coefficients are proposed for various sending-end system capacities and operating conditions. Finally, the model’s validity and accuracy are confirmed through a modified WSCC 4-machine 10-bus system, offering theoretical underpinnings for stable system operation and optimized operational planning.

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Publication Details

Journal
Frontiers in Energy Research
Published
2024-12-18
DOI
https://doi.org/10.3389/fenrg.2024.1521209
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.33

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System frequency response model and droop coefficient setting considering renewable energy participation in frequency regulation

Yunche Su, Yongjie Zhang, Yuyan Song, Shuai Zhang et al.
1 citations
Frontiers in Energy Research
Microgrid Control and Optimization
0.33
article

System frequency response model and droop coefficient setting considering renewable energy participation in frequency regulation

Yunche Su, Yongjie Zhang, Yuyan Song, Shuai Zhang, Fang Liu, Yang Liu
article en
1 citations

Abstract

The highly uncertain and uncontrollable power output of renewable energy sources (RES), when integrated into power systems at high penetration levels, reduces system inertia and introduces uncertain changes in system structure, parameters, and frequency response characteristics. This renders traditional frequency regulation analysis methods and frequency response models inapplicable, lacking a generalized model to describe renewable energy’s participation in frequency regulation. Thus, this paper proposes a method where RES utilize suitable means to reduce load, thereby contributing to frequency regulation. Furthermore, employing Virtual Synchronous Machine (VSM) technology, these renewable energy units emulate the inertia and droop characteristics of Synchronous Generators (SG), enabling their equivalent modeling alongside traditional generators within a single-machine aggregate model. An SFR (System Frequency Response) model integrating renewable energy’s frequency regulation has been established. This model enables the analysis of the relationships between the system’s equivalent droop coefficient and the frequency nadir, nadir time, and quasi-steady-state point. Furthermore, the required equivalent droop coefficients are proposed for various sending-end system capacities and operating conditions. Finally, the model’s validity and accuracy are confirmed through a modified WSCC 4-machine 10-bus system, offering theoretical underpinnings for stable system operation and optimized operational planning.

Frontiers in Energy ResearchVol. 12
State Grid Corporation of China (China) (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 38%
Microgrid Control and Optimization
0.33
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System frequency response model and droop coefficient setting considering renewable energy participation in frequency regulation — Yunche Su, Yongjie Zhang, et al. · Frontiers in Energy Research (2024) | TGRS Research Map | TGRS