IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v45y2012i1p1007-1017.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544212005002
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2012.06.049?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Blumsack, Seth & Fernandez, Alisha, 2012. "Ready or not, here comes the smart grid!," Energy, Elsevier, vol. 37(1), pages 61-68.
    2. Mabel, M. Carolin & Raj, R. Edwin & Fernandez, E., 2010. "Adequacy evaluation of wind power generation systems," Energy, Elsevier, vol. 35(12), pages 5217-5222.
    3. 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.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kumar, K. Prakash & Saravanan, B., 2017. "Recent techniques to model uncertainties in power generation from renewable energy sources and loads in microgrids – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 348-358.
    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Odin Foldvik Eikeland & Filippo Maria Bianchi & Inga Setså Holmstrand & Sigurd Bakkejord & Sergio Santos & Matteo Chiesa, 2022. "Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case," Energies, MDPI, vol. 15(1), pages 1-21, January.
    3. Anu Narayanan & M. Granger Morgan, 2012. "Sustaining Critical Social Services During Extended Regional Power Blackouts," Risk Analysis, John Wiley & Sons, vol. 32(7), pages 1183-1193, July.
    4. Dunn, Laurel N. & Sohn, Michael D. & LaCommare, Kristina Hamachi & Eto, Joseph H., 2019. "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability," Energy Policy, Elsevier, vol. 129(C), pages 206-214.
    5. Kovacic, Zora & Giampietro, Mario, 2015. "Empty promises or promising futures? The case of smart grids," Energy, Elsevier, vol. 93(P1), pages 67-74.
    6. Aman, M.M. & Jasmon, G.B. & Bakar, A.H.A. & Mokhlis, H., 2014. "A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm," Energy, Elsevier, vol. 66(C), pages 202-215.
    7. Li, Xiao Hui & Hong, Seung Ho, 2014. "User-expected price-based demand response algorithm for a home-to-grid system," Energy, Elsevier, vol. 64(C), pages 437-449.
    8. Li, Yanfu & Zio, Enrico, 2012. "Uncertainty analysis of the adequacy assessment model of a distributed generation system," Renewable Energy, Elsevier, vol. 41(C), pages 235-244.
    9. Ghaith, Ahmad F. & Epplin, Francis M. & Frazier, R. Scott, 2017. "Economics of grid-tied household solar panel systems versus grid-only electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 407-424.
    10. Sultana, U. & Khairuddin, Azhar B. & Aman, M.M. & Mokhtar, A.S. & Zareen, N., 2016. "A review of optimum DG placement based on minimization of power losses and voltage stability enhancement of distribution system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 363-378.
    11. Boukettaya, Ghada & Krichen, Lotfi, 2014. "A dynamic power management strategy of a grid connected hybrid generation system using wind, photovoltaic and Flywheel Energy Storage System in residential applications," Energy, Elsevier, vol. 71(C), pages 148-159.
    12. Hua, Lyu-Guang & Hafeez, Ghulam & Alghamdi, Baheej & Alghamdi, Hisham & Khan, Farrukh Aslam & Ullah, Safeer, 2025. "Demand response with pricing schemes and consumers mode constraints for energy balancing in smart grids," Applied Energy, Elsevier, vol. 377(PB).
    13. Majid Hashemi & Glenn Jenkins, 2021. "The Economic Benefits of Mitigating the Risk of Unplanned Power Outages," Working Paper 1468, Economics Department, Queen's University.
    14. Elie Bouri & Joseph El Assad, 2016. "The Lebanese Electricity Woes: An Estimation of the Economical Costs of Power Interruptions," Energies, MDPI, vol. 9(8), pages 1-12, July.
    15. Burgherr, Peter & Hirschberg, Stefan, 2014. "Comparative risk assessment of severe accidents in the energy sector," Energy Policy, Elsevier, vol. 74(S1), pages 45-56.
    16. Shen, Yung-Chi & Chou, Chiyang James & Lin, Grace T.R., 2011. "The portfolio of renewable energy sources for achieving the three E policy goals," Energy, Elsevier, vol. 36(5), pages 2589-2598.
    17. Praktiknjo, Aaron J., 2014. "Stated preferences based estimation of power interruption costs in private households: An example from Germany," Energy, Elsevier, vol. 76(C), pages 82-90.
    18. Antonio Bracale & Pasquale De Falco, 2015. "An Advanced Bayesian Method for Short-Term Probabilistic Forecasting of the Generation of Wind Power," Energies, MDPI, vol. 8(9), pages 1-22, September.
    19. Aurelie Tricoire, 2015. "Uncertainty, vision, and the vitality of the emerging smart grid," Post-Print hal-02351994, HAL.
    20. Xavier Labandeira & Baltazar Manzano, 2012. "Some Economic Aspects of Energy Security," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 47-64.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:45:y:2012:i:1:p:1007-1017. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.