A Study on the Evaluation of System Voltage Stability in the Local Renewable Management System

The increasing integration of renewable energy poses a significant threat to the voltage stability of regional power systems, such as in the Gwangju-Jeonnam province. This paper proposes a dynamic voltage stability assessment methodology applicable within a Local Renewable Management System (LRMS). The proposed methodology periodically calculates the ’maximum renewable energy hosting capacity’ by integrating real-time grid data and conducting contingency-based simulations using DSA(Dynamic Security Assessment) Tools. A case study using actual data from the Gwangju-Jeonnam grid successfully identified the potential risk of voltage collapse on a day without renewable energy curtailment and quantified the stable hosting limit. This study demonstrates that the proposed methodology can provide grid operators with a quantitative tool for proactive decision-making, contributing to the stable operation of the power grid while maximizing the utilization of renewable energy.

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Publication Details

Journal
The Transactions of The Korean Institute of Electrical Engineers
Published
2025-11-11
DOI
https://doi.org/10.5370/kiee.2025.74.11.1844
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on the Evaluation of System Voltage Stability in the Local Renewable Management System

Jeong Hoon Shin, Seung‐Ho Kim, Hyeonjin Kim, Sang‐Ho Park
The Transactions of The Korean Institute of Electrical Engineers
Power System Optimization and Stability
article

A Study on the Evaluation of System Voltage Stability in the Local Renewable Management System

Jeong Hoon Shin, Seung‐Ho Kim, Hyeonjin Kim, Sang‐Ho Park
article en

Abstract

The increasing integration of renewable energy poses a significant threat to the voltage stability of regional power systems, such as in the Gwangju-Jeonnam province. This paper proposes a dynamic voltage stability assessment methodology applicable within a Local Renewable Management System (LRMS). The proposed methodology periodically calculates the ’maximum renewable energy hosting capacity’ by integrating real-time grid data and conducting contingency-based simulations using DSA(Dynamic Security Assessment) Tools. A case study using actual data from the Gwangju-Jeonnam grid successfully identified the potential risk of voltage collapse on a day without renewable energy curtailment and quantified the stable hosting limit. This study demonstrates that the proposed methodology can provide grid operators with a quantitative tool for proactive decision-making, contributing to the stable operation of the power grid while maximizing the utilization of renewable energy.

The Transactions of The Korean Institute of Electrical EngineersVol. 74(11)
Openalex Percentile: Top 67%
Power System Optimization and Stability
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