Frequency Dynamics-Constrained Renewable Energy Hosting Capacity Evaluation With Synthetic Inertia and Multi-Resource Frequency Support

With the growing adoption of renewable energy, conventional synchronous generators (CSGs) are gradually substituted by the renewable energy generation units, resulting in a significant decline in the inertia level and anti-disturbance capability of power systems. Consequently, the frequency security problem becomes increasingly prominent, which in turn hinders the effective accommodation of renewable energy. Hence, this paper proposes a novel frequency dynamics-constrained evaluation method of renewable energy hosting capacity (REHC) in power systems to provide insightful guidance for the healthy development of renewable energy. Firstly, we analyze the dynamic response mechanism in frequency regulation using various resources including CSG, energy storage and renewable energy. Subsequently, the frequency security algebraic constraints are derived based on the first-order swing equation considering the heterogeneity of multi-resource response characteristics and load-damping effect. Then, we formulate the REHC evaluation model with frequency security constraints considering both economic and technical aspects. To reduce the computation complexity and guarantee high-level accuracy, the piecewise McCormick envelop method is employed to relax frequency security constraints as linear equations, hence converting the original problem into a mixed- integer linear programming (MILP) problem. Eventually, the proposed REHC evaluation method is tested on the modified IEEE 39- bus system, and its effectiveness is verified by the numerical results.

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-04-09
DOI
https://doi.org/10.1109/tia.2025.3559029
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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Frequency Dynamics-Constrained Renewable Energy Hosting Capacity Evaluation With Synthetic Inertia and Multi-Resource Frequency Support

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1 citations
IEEE Transactions on Industry Applications
Power Systems and Renewable Energy
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article

Frequency Dynamics-Constrained Renewable Energy Hosting Capacity Evaluation With Synthetic Inertia and Multi-Resource Frequency Support

Yongheng Luo, Cong Zhang, Lipeng Zhu, Jiayong Li, Yu Yi, Yang Zeng
article en
1 citations

Abstract

With the growing adoption of renewable energy, conventional synchronous generators (CSGs) are gradually substituted by the renewable energy generation units, resulting in a significant decline in the inertia level and anti-disturbance capability of power systems. Consequently, the frequency security problem becomes increasingly prominent, which in turn hinders the effective accommodation of renewable energy. Hence, this paper proposes a novel frequency dynamics-constrained evaluation method of renewable energy hosting capacity (REHC) in power systems to provide insightful guidance for the healthy development of renewable energy. Firstly, we analyze the dynamic response mechanism in frequency regulation using various resources including CSG, energy storage and renewable energy. Subsequently, the frequency security algebraic constraints are derived based on the first-order swing equation considering the heterogeneity of multi-resource response characteristics and load-damping effect. Then, we formulate the REHC evaluation model with frequency security constraints considering both economic and technical aspects. To reduce the computation complexity and guarantee high-level accuracy, the piecewise McCormick envelop method is employed to relax frequency security constraints as linear equations, hence converting the original problem into a mixed- integer linear programming (MILP) problem. Eventually, the proposed REHC evaluation method is tested on the modified IEEE 39- bus system, and its effectiveness is verified by the numerical results.

IEEE Transactions on Industry ApplicationsVol. 61(5)
Hunan University (CN), State Grid Corporation of China (China) (CN), State Nuclear Power Technology Company (China) (CN)
Openalex Percentile: Top 32%
Power Systems and Renewable Energy
0.53
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