An Enhanced Continuation Power Flow Method Using Hybrid Parameterization

Haelee Kim, Hyeon Woo, Yeunggurl Yoon, Hyun-Tae Kim, Yong Jung Kim, Moonho Kang, Xuehan Zhang and Sungyun Choi ()
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Haelee Kim: School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea
Hyeon Woo: School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea
Yeunggurl Yoon: School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea
Hyun-Tae Kim: Korea Electric Power Corporation Research Institute, Naju 58277, Republic of Korea
Yong Jung Kim: Korea Electric Power Corporation Research Institute, Naju 58277, Republic of Korea
Moonho Kang: Korea Electric Power Corporation Research Institute, Naju 58277, Republic of Korea
Xuehan Zhang: College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
Sungyun Choi: School of Electrical Engineering, Korea University, Seoul 02841, Republic of Korea

Sustainability, 2024, vol. 16, issue 17, 1-15

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.

Keywords: continuation power flow; load parameterization; voltage stability; load margin; P-V curve; distributed generations; renewable integration; stability assessment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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