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Design and Implementation of Probabilistic Transient Stability Approach to Assess the High Penetration of Renewable Energy in Korea

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  • Young-Been Cho

    (School of Electronic and Electrical Engineering, Daegu Catholic University, Gyeongbuk 38430, Korea)

  • Yun-Sung Cho

    (School of Electronic and Electrical Engineering, Daegu Catholic University, Gyeongbuk 38430, Korea)

  • Jae-Gul Lee

    (Power System Analysis, Korea Electric Power Research Institute, Deajeon 34056, Korea)

  • Seung-Chan Oh

    (Power System Analysis, Korea Electric Power Research Institute, Deajeon 34056, Korea)

Abstract

Recently, because of the many environmental problems worldwide, Korea is moving to increase its renewable energy output due to the Renewable 3020 Policy. Renewable energy output can change depending on environmental factors. It is for this reason that institutions should consider the instability of renewables when linked to the electric system. This paper describes the methodology of renewable energy capacity calculation based on probabilistic transient stability assessment. Probabilistic transient stability assessment consists of four algorithms: first, to create probabilistic scenarios based on the effective capacity history of renewable energy; second, to evaluate probabilistic transient stability based on transient stability index, interpolation-based transient stability index estimation, reduction-based transient stability index calculation, etc.; third, to implement multiple scenarios to calculate renewable energy capacity using probabilistic evaluation index; and finally, to create a probabilistic transient stability assessment simulator based on Python. This paper calculated renewable energy capacity based on large-scale power system to validate consistency of the proposed paper.

Suggested Citation

  • Young-Been Cho & Yun-Sung Cho & Jae-Gul Lee & Seung-Chan Oh, 2021. "Design and Implementation of Probabilistic Transient Stability Approach to Assess the High Penetration of Renewable Energy in Korea," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4205-:d:533192
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    References listed on IDEAS

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    2. Sunoh Kim & Jin Hur, 2020. "Probabilistic Approaches to the Security Analysis of Smart Grid with High Wind Penetration: The Case of Jeju Island’s Power Grids," Energies, MDPI, vol. 13(21), pages 1-13, November.
    3. Khalid Alqunun & Tawfik Guesmi & Abdullah F. Albaker & Mansoor T. Alturki, 2020. "Stochastic Unit Commitment Problem, Incorporating Wind Power and an Energy Storage System," Sustainability, MDPI, vol. 12(23), pages 1-17, December.
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    1. Lucio Laureti & Alessandro Massaro & Alberto Costantiello & Angelo Leogrande, 2023. "The Impact of Renewable Electricity Output on Sustainability in the Context of Circular Economy: A Global Perspective," Sustainability, MDPI, vol. 15(3), pages 1-29, January.

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