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Stochastic optimal transmission Switching: A novel approach to enhance power grid security margins through vulnerability mitigation under renewables uncertainties

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  • Mohseni-Bonab, Seyed Masoud
  • Kamwa, Innocent
  • Rabiee, Abbas
  • Chung, C.Y.

Abstract

In this paper, a stochastic optimal transmission switching (SOTS) model is developed considering the uncertainty of load, wind power and photovoltaic generation, while minimizing the grid vulnerability. Scenario reduction technique is used for alleviating computational burden of the developed SOTS model. A three-step procedure, named the vulnerability-oriented SOTS (VO-SOTS), is proposed to consider the set of critical transmission lines, i.e., lines whose outage imposes the largest load curtailment. Moreover, to control the negative impacts of the uncertainties, conditional value at risk (CVaR) is used as the risk measure. The proposed VO-SOTS model is formulated as a mixed integer non-linear programming optimization problem and solved using GAMS optimization package. Also, the VO-SOTS model is implemented on the IEEE 118-bus, IEEE 300-bus, and large-scale IEEE 2869-bus standard test systems. Simulation results for these cases show that considering the set of critical lines allows the proposed VO-SOTS model to reduce generation costs while effectively minimizing system vulnerability and risk. In addition, it is shown through extensive case studies that switching off a line based on the proposed three-step VO-SOTS does not increase the grid’s exposure to vulnerability, in contrast to the conventional OTS.

Suggested Citation

  • Mohseni-Bonab, Seyed Masoud & Kamwa, Innocent & Rabiee, Abbas & Chung, C.Y., 2022. "Stochastic optimal transmission Switching: A novel approach to enhance power grid security margins through vulnerability mitigation under renewables uncertainties," Applied Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:appene:v:305:y:2022:i:c:s0306261921011752
    DOI: 10.1016/j.apenergy.2021.117851
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    References listed on IDEAS

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    1. Lété, Quentin & Papavasiliou, Anthony, 2021. "Impacts of Transmission Switching in Zonal Electricity Markets - Part I," LIDAM Reprints CORE 3144, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Lété, Quentin & Papavasiliou, Anthony, 2021. "Impacts of Transmission Switching in Zonal Electricity Markets - Part II," LIDAM Reprints CORE 3145, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Nikoobakht, Ahmad & Aghaei, Jamshid & Mardaneh, Mohammad, 2017. "Securing highly penetrated wind energy systems using linearized transmission switching mechanism," Applied Energy, Elsevier, vol. 190(C), pages 1207-1220.
    4. Fan, Vivienne Hui & Dong, Zhaoyang & Meng, Ke, 2020. "Integrated distribution expansion planning considering stochastic renewable energy resources and electric vehicles," Applied Energy, Elsevier, vol. 278(C).
    5. Peker, Meltem & Kocaman, Ayse Selin & Kara, Bahar Y., 2018. "Benefits of transmission switching and energy storage in power systems with high renewable energy penetration," Applied Energy, Elsevier, vol. 228(C), pages 1182-1197.
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    Citations

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    Cited by:

    1. Alizadeh, Ali & Esfahani, Moein & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud, 2024. "A useable multi-level BESSs sizing model for low-level data accessibility with risk assessment application under marketization and high uncertainties," Energy, Elsevier, vol. 290(C).
    2. Lei Li & Cuimei Li & Hao Wang & Fei Xu, 2024. "Precondition Study of a Sponge City: Comprehensive Assessment of the Vulnerability of an Urban Rainwater System," Sustainability, MDPI, vol. 16(10), pages 1-16, May.
    3. Han, Shuo & He, Mengjiao & Zhao, Ziwen & Chen, Diyi & Xu, Beibei & Jurasz, Jakub & Liu, Fusheng & Zheng, Hongxi, 2023. "Overcoming the uncertainty and volatility of wind power: Day-ahead scheduling of hydro-wind hybrid power generation system by coordinating power regulation and frequency response flexibility," Applied Energy, Elsevier, vol. 333(C).
    4. Alizadeh, Ali & Esfahani, Moein & Dinar, Farid & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud & Busvelle, Eric, 2024. "A cooperative transactive multi-carrier energy control mechanism with P2P energy + reserve trading using Nash bargaining game theory under renewables uncertainty," Applied Energy, Elsevier, vol. 353(PB).
    5. Yin, Xin & Chen, Haoyong & Liang, Zipeng & Zhu, Yanjin, 2023. "A Flexibility-oriented robust transmission expansion planning approach under high renewable energy resource penetration," Applied Energy, Elsevier, vol. 351(C).
    6. Alizadeh, Ali & Kamwa, Innocent & Moeini, Ali & Mohseni-Bonab, Seyed Masoud, 2023. "Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).

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