An Enhanced Continuation Power Flow Method Using Hybrid Parameterization

The rapid integration of renewable energy sources and the increasing complexity of modern power systems urge the development of advanced methods for ensuring power system stability. This paper presents a novel continuation power flow (CPF) method that combines two well-known parameterization techniques: natural parameterization and arc-length parameterization. The proposed hybrid approach significantly improves computational efficiency, reducing processing time by 32.76% compared to conventional methods while maintaining high accuracy. The method enables faster and more reliable stability assessments by efficiently managing the complexities and uncertainties, particularly in grids with high penetration of renewable energy.

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Publication Details

Journal
Sustainability
Published
2024-09-02
DOI
https://doi.org/10.3390/su16177595
Citations
2
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.42

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An Enhanced Continuation Power Flow Method Using Hybrid Parameterization

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2 citations
Sustainability
Power System Optimization and Stability
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article

An Enhanced Continuation Power Flow Method Using Hybrid Parameterization

Hyeon Woo, Yeunggurl Yoon, Yong Jung Kim, Moonho Kang, Hyun‐Tae Kim, Sungyun Choi, Xuehan Zhang, Haelee Kim
article en
2 citations

Abstract

The rapid integration of renewable energy sources and the increasing complexity of modern power systems urge the development of advanced methods for ensuring power system stability. This paper presents a novel continuation power flow (CPF) method that combines two well-known parameterization techniques: natural parameterization and arc-length parameterization. The proposed hybrid approach significantly improves computational efficiency, reducing processing time by 32.76% compared to conventional methods while maintaining high accuracy. The method enables faster and more reliable stability assessments by efficiently managing the complexities and uncertainties, particularly in grids with high penetration of renewable energy.

SustainabilityVol. 16(17)
Korea University (KR), Korea Electric Power Corporation (South Korea) (KR), Fuzhou University (CN)
National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Korea Electric Power Corporation, Ministry of Science and ICT, South Korea, Korea Institute of Energy Technology Evaluation and Planning
Affordable and clean energy
Openalex Percentile: Top 38%
Power System Optimization and Stability
0.42
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