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Hybrid fuzzy Monte Carlo technique for reliability assessment in transmission power systems

Author

Listed:
  • Canizes, Bruno
  • Soares, João
  • Vale, Zita
  • Khodr, H.M.

Abstract

This paper proposes a new methodology to reduce the probability of occurring states that cause load curtailment, while minimizing the involved costs to achieve that reduction. The methodology is supported by a hybrid method based on Fuzzy Set and Monte Carlo Simulation to catch both randomness and fuzziness of component outage parameters of transmission power system.

Suggested Citation

  • Canizes, Bruno & Soares, João & Vale, Zita & Khodr, H.M., 2012. "Hybrid fuzzy Monte Carlo technique for reliability assessment in transmission power systems," Energy, Elsevier, vol. 45(1), pages 1007-1017.
    • Handle: RePEc:eee:energy:v:45:y:2012:i:1:p:1007-1017
    DOI: 10.1016/j.energy.2012.06.049
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    References listed on IDEAS

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    1. Blumsack, Seth & Fernandez, Alisha, 2012. "Ready or not, here comes the smart grid!," Energy, Elsevier, vol. 37(1), pages 61-68.
    2. LaCommare, Kristina Hamachi & Eto, Joseph H., 2006. "Cost of power interruptions to electricity consumers in the United States (US)," Energy, Elsevier, vol. 31(12), pages 1845-1855.
    3. Mabel, M. Carolin & Raj, R. Edwin & Fernandez, E., 2010. "Adequacy evaluation of wind power generation systems," Energy, Elsevier, vol. 35(12), pages 5217-5222.
    4. Zangiabadi, Mansoureh & Feuillet, Rene & Lesani, Hamid & Hadj-Said, Nouredine & Kvaløy, Jan T., 2011. "Assessing the performance and benefits of customer distributed generation developers under uncertainties," Energy, Elsevier, vol. 36(3), pages 1703-1712.
    5. Khazali, A.H. & Kalantar, M. & Khazali, Ali, 2011. "Fuzzy multi-objective reactive power clearing considering reactive compensation sources," Energy, Elsevier, vol. 36(5), pages 3319-3327.
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    Cited by:

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    2. Soares, João & Fotouhi Ghazvini, Mohammad Ali & Vale, Zita & de Moura Oliveira, P.B., 2016. "A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads," Applied Energy, Elsevier, vol. 162(C), pages 1074-1088.
    3. Kanevce, Aleksandra & Mishkovski, Igor & Kocarev, Ljupco, 2013. "Modeling long-term dynamical evolution of Southeast European power transmission system," Energy, Elsevier, vol. 57(C), pages 116-124.
    4. Soares, João & Borges, Nuno & Fotouhi Ghazvini, Mohammad Ali & Vale, Zita & de Moura Oliveira, P.B., 2016. "Scenario generation for electric vehicles' uncertain behavior in a smart city environment," Energy, Elsevier, vol. 111(C), pages 664-675.
    5. Cai, Yanpeng & Yue, Wencong & Xu, Linyu & Yang, Zhifeng & Rong, Qiangqiang, 2016. "Sustainable urban water resources management considering life-cycle environmental impacts of water utilization under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 21-40.
    6. Zeng, Bo & Sun, Bo & Wei, Xuan & Gong, Dunwei & Zhao, Dongbo & Singh, Chanan, 2020. "Capacity value estimation of plug-in electric vehicle parking-lots in urban power systems: A physical-social coupling perspective," Applied Energy, Elsevier, vol. 265(C).
    7. Cui, Hongjun & Wang, Fei & Ma, Xinwei & Zhu, Minqing, 2022. "A novel fixed-node unconnected subgraph method for calculating the reliability of binary-state networks," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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