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Tri-level optimal hardening plan for a resilient distribution system considering reconfiguration and DG islanding

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  • Lin, Yanling
  • Bie, Zhaohong

Abstract

There is an increasing awareness of resilience in the face of extreme natural disasters and man-made attacks. Power system resilience includes hardening measures and operational restoration measures. These two aspects of resilience measures are innovatively combined in this paper to improve power system resilience. A tri-level defender-attacker-defender (DAD) model is built to find the best hardening plan under malicious attacks given the available defending resources and operational restoration measures for a distribution system. On the first level, the system defender makes hardening decisions. On the second level, the attacker finds the attack scenario with maximum damage. Given the hardening and attack plans, on the third level, the system operator undertakes resilient operational measures including optimal DG islanding formation and topology reconfiguration. This new model overcomes the limitations of existing DAD models by integrating these operational measures into the mathematical model; the produced hardening strategy is more practical for today’s fast-developing smart distribution system. The DAD problem is formed as a tri-level mixed integer optimization problem and the Column Constraint Generation (CCG) method is adopted to accurately achieve the optimal solution. The proposed methodology is applied on an IEEE 33-bus system and a real 94-bus system. Its effectiveness is verified by numerical case studies.

Suggested Citation

  • Lin, Yanling & Bie, Zhaohong, 2018. "Tri-level optimal hardening plan for a resilient distribution system considering reconfiguration and DG islanding," Applied Energy, Elsevier, vol. 210(C), pages 1266-1279.
    • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:1266-1279
    DOI: 10.1016/j.apenergy.2017.06.059
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    References listed on IDEAS

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    1. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Operating principle of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 164(C), pages 245-257.
    2. Yuan, Wei & Zhao, Long & Zeng, Bo, 2014. "Optimal power grid protection through a defender–attacker–defender model," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 83-89.
    3. Salman, Abdullahi M. & Li, Yue & Stewart, Mark G., 2015. "Evaluating system reliability and targeted hardening strategies of power distribution systems subjected to hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 319-333.
    4. Mo, Huadong & Xie, Min & Levitin, Gregory, 2015. "Optimal resource distribution between protection and redundancy considering the time and uncertainties of attacks," European Journal of Operational Research, Elsevier, vol. 243(1), pages 200-210.
    5. Nikmehr, Nima & Najafi-Ravadanegh, Sajad & Khodaei, Amin, 2017. "Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty," Applied Energy, Elsevier, vol. 198(C), pages 267-279.
    6. Cadini, Francesco & Agliardi, Gian Luca & Zio, Enrico, 2017. "A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions," Applied Energy, Elsevier, vol. 185(P1), pages 267-279.
    7. Gerald Brown & Matthew Carlyle & Javier Salmerón & Kevin Wood, 2006. "Defending Critical Infrastructure," Interfaces, INFORMS, vol. 36(6), pages 530-544, December.
    8. Bier, Vicki M. & Gratz, Eli R. & Haphuriwat, Naraphorn J. & Magua, Wairimu & Wierzbicki, Kevin R., 2007. "Methodology for identifying near-optimal interdiction strategies for a power transmission system," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1155-1161.
    9. Haddadian, Hossein & Noroozian, Reza, 2017. "Multi-microgrids approach for design and operation of future distribution networks based on novel technical indices," Applied Energy, Elsevier, vol. 185(P1), pages 650-663.
    10. Ding, Tao & Lin, Yanling & Bie, Zhaohong & Chen, Chen, 2017. "A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration," Applied Energy, Elsevier, vol. 199(C), pages 205-216.
    11. Cao, Wanyu & Wu, Jianzhong & Jenkins, Nick & Wang, Chengshan & Green, Timothy, 2016. "Benefits analysis of Soft Open Points for electrical distribution network operation," Applied Energy, Elsevier, vol. 165(C), pages 36-47.
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