IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v15y2024i4d10.1007_s13198-023-01895-3.html
   My bibliography  Save this article

Performance analysis of wind–hydro power plant under multi-state failures and repairs

Author

Listed:
  • Vaishali Tyagi

    (ABES Institute of Technology)

  • Mangey Ram

    (Graphic Era Deemed to be University)

Abstract

Hybrid power plant system is an excellent option for providing electricity for remote and rural locations where access of grid is not feasible or economical. In this paper, a renewable energy-based system which is a combination of wind and hydro power plant is considered to produce electricity. Where, wind power plant has a provision of single rotor and two generators to produce electricity and hydro power plant works as a standby. Some differential equations have been derived with the help of Markov process and solved by Laplace transformation. Reliability, availability, cost benefits and sensitivity analysis of wind–hydro power plant (WHPP) have been derived and illustrate with the help of their graphs. The purpose of this work is to supply significant amount of reliable and renewable energy by combined WHPP and evaluate the reliability characteristics of WHPP. Combining, wind with the hydropower is one way to make the grid more reliable.

Suggested Citation

  • Vaishali Tyagi & Mangey Ram, 2024. "Performance analysis of wind–hydro power plant under multi-state failures and repairs," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(4), pages 1424-1433, April.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:4:d:10.1007_s13198-023-01895-3
    DOI: 10.1007/s13198-023-01895-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-023-01895-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-023-01895-3?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. Kashefi Kaviani, A. & Riahy, G.H. & Kouhsari, SH.M., 2009. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages," Renewable Energy, Elsevier, vol. 34(11), pages 2380-2390.
    2. Subhi Tyagi & Nupur Goyal & Akshay Kumar & Mangey Ram, 2022. "Stochastic hybrid energy system modelling with component failure and repair," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 842-852, June.
    3. Karthik Tamvada & Rohit Babu, 2022. "Control of doubly fed induction generator for power quality improvement: an overview," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 2809-2832, December.
    4. Malhar Padhee & Rajesh Karki, 2017. "Reliability/environmental impacts of wind energy curtailment due to ramping constraints," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 663-672, December.
    5. Mabel, M. Carolin & Raj, R. Edwin & Fernandez, E., 2010. "Adequacy evaluation of wind power generation systems," Energy, Elsevier, vol. 35(12), pages 5217-5222.
    6. Monika Manglik & Mangey Ram, 2015. "Behavioural analysis of a hydroelectric production power plant under reworking scheme," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 648-664, January.
    7. Arabian-Hoseynabadi, H. & Oraee, H. & Tavner, P.J., 2010. "Wind turbine productivity considering electrical subassembly reliability," Renewable Energy, Elsevier, vol. 35(1), pages 190-197.
    Full references (including those not matched with items on IDEAS)

    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. Esmaieli, M. & Ahmadian, M., 2018. "The effect of research and development incentive on wind power investment, a system dynamics approach," Renewable Energy, Elsevier, vol. 126(C), pages 765-773.
    2. Ademi, Sul & Jovanovic, Milutin, 2016. "Control of doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 85(C), pages 171-180.
    3. Srihari Sundar & Michael T. Craig & Ashley E. Payne & David J. Brayshaw & Flavio Lehner, 2023. "Meteorological drivers of resource adequacy failures in current and high renewable Western U.S. power systems," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Arévalo, Paul & Benavides, Dario & Tostado-Véliz, Marcos & Aguado, José A. & Jurado, Francisco, 2023. "Smart monitoring method for photovoltaic systems and failure control based on power smoothing techniques," Renewable Energy, Elsevier, vol. 205(C), pages 366-383.
    5. Erdinc, O. & Uzunoglu, M., 2010. "Recent trends in PEM fuel cell-powered hybrid systems: Investigation of application areas, design architectures and energy management approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2874-2884, December.
    6. 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.
    7. Jicheng Liu & Fangqiu Xu & Shuaishuai Lin & Hua Cai & Suli Yan, 2018. "A Multi-Agent-Based Optimization Model for Microgrid Operation Using Dynamic Guiding Chaotic Search Particle Swarm Optimization," Energies, MDPI, vol. 11(12), pages 1-22, November.
    8. Mohseni, Soheil & Brent, Alan C. & Burmester, Daniel, 2020. "A comparison of metaheuristics for the optimal capacity planning of an isolated, battery-less, hydrogen-based micro-grid," Applied Energy, Elsevier, vol. 259(C).
    9. Davoudkhani, Iraj Faraji & Dejamkhooy, Abdolmajid & Nowdeh, Saber Arabi, 2023. "A novel cloud-based framework for optimal design of stand-alone hybrid renewable energy system considering uncertainty and battery aging," Applied Energy, Elsevier, vol. 344(C).
    10. Mohamed A Mohamed & Ali M Eltamaly & Abdulrahman I Alolah, 2016. "PSO-Based Smart Grid Application for Sizing and Optimization of Hybrid Renewable Energy Systems," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-22, August.
    11. 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.
    12. Rudimar Caricimi & Géremi Gilson Dranka & Dalmarino Setti & Paula Ferreira, 2022. "Reframing the Selection of Hydraulic Turbines Integrating Analytical Hierarchy Process (AHP) and Fuzzy VIKOR Multi-Criteria Methods," Energies, MDPI, vol. 15(19), pages 1-26, October.
    13. Pablo Benalcazar & Adam Suski & Jacek Kamiński, 2020. "Optimal Sizing and Scheduling of Hybrid Energy Systems: The Cases of Morona Santiago and the Galapagos Islands," Energies, MDPI, vol. 13(15), pages 1-20, August.
    14. Speckmann, Friedrich-W. & Keiner, Dominik & Birke, Kai Peter, 2020. "Influence of rectifiers on the techno-economic performance of alkaline electrolysis in a smart grid environment," Renewable Energy, Elsevier, vol. 159(C), pages 107-116.
    15. Ardakani, F.J. & Ardehali, M.M., 2014. "Long-term electrical energy consumption forecasting for developing and developed economies based on different optimized models and historical data types," Energy, Elsevier, vol. 65(C), pages 452-461.
    16. Scholtens, Bert & Boersen, Arieke, 2011. "Stocks and energy shocks: The impact of energy accidents on stock market value," Energy, Elsevier, vol. 36(3), pages 1698-1702.
    17. Tezer, Tuba & Yaman, Ramazan & Yaman, Gülşen, 2017. "Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 840-853.
    18. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    19. Scharff, Richard & Amelin, Mikael & Söder, Lennart, 2013. "Approaching wind power forecast deviations with internal ex-ante self-balancing," Energy, Elsevier, vol. 57(C), pages 106-115.
    20. Mohammed, Y.S. & Mustafa, M.W. & Bashir, N., 2014. "Hybrid renewable energy systems for off-grid electric power: Review of substantial issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 527-539.

    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:spr:ijsaem:v:15:y:2024:i:4:d:10.1007_s13198-023-01895-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.