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Reliability and economic evaluation of power system with renewables: A review

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  • Zhou, P.
  • Jin, R.Y.
  • Fan, L.W.

Abstract

The share of renewable energy generation has been increasing as a result of the world-wide concern on environmental deterioration and climate change associated with burning fossil fuel. Due to the stochastic and intermittent characteristics of renewable energy resources, assessing the reliability of power systems with renewables has become challengeable and been widely studied for the past several decades. This paper provides a review of the studies on the reliability and economic evaluation of power system with renewables. It starts from a summary of the key indicators and models for assessing the reliability and economics of power systems. Different studies are then compared in terms of type of renewables, evaluation method, application area, level of study and country involved, through which the main features of past studies are identified. We also discuss the relationship between economics and reliability that shows the necessity of evaluating reliability and economics of power system with renewables simultaneously. A case study is finally proposed to illustrate the differences between alternative system settings in reliability and economic evaluation. It is found that the types and scales of renewable energy generation have significant impacts on system reliability and economics, which needs to be taken into account in the development of renewable energy power systems.

Suggested Citation

  • Zhou, P. & Jin, R.Y. & Fan, L.W., 2016. "Reliability and economic evaluation of power system with renewables: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 537-547.
  • Handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:537-547
    DOI: 10.1016/j.rser.2015.12.344
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    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. Billinton, R. & Chu, K., 1992. "An integrated approach to electric power system planning and cost of service allocation," Utilities Policy, Elsevier, vol. 2(4), pages 303-308, October.
    3. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2013. "Probabilistic modelling and analysis of stand-alone hybrid power systems," Energy, Elsevier, vol. 63(C), pages 19-27.
    4. Chaudhry, Nikhil & Hughes, Larry, 2012. "Forecasting the reliability of wind-energy systems: A new approach using the RL technique," Applied Energy, Elsevier, vol. 96(C), pages 422-430.
    5. Chattopadhyay, Deb, 2014. "Modelling renewable energy impact on the electricity market in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 9-22.
    6. Fathima, A. Hina & Palanisamy, K., 2015. "Optimization in microgrids with hybrid energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 431-446.
    7. Li, Zhe & Reynolds, Anthony & Boyle, Fergal, 2014. "Domestic integration of micro-renewable electricity generation in Ireland – The current status and economic reality," Renewable Energy, Elsevier, vol. 64(C), pages 244-254.
    8. Ismail, M.S. & Moghavvemi, M. & Mahlia, T.M.I. & Muttaqi, K.M. & Moghavvemi, S., 2015. "Effective utilization of excess energy in standalone hybrid renewable energy systems for improving comfort ability and reducing cost of energy: A review and analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 726-734.
    9. Xie, Kaigui & Billinton, Roy, 2011. "Energy and reliability benefits of wind energy conversion systems," Renewable Energy, Elsevier, vol. 36(7), pages 1983-1988.
    10. Kaldellis, J.K. & Koronakis, P. & Kavadias, K., 2004. "Energy balance analysis of a stand-alone photovoltaic system, including variable system reliability impact," Renewable Energy, Elsevier, vol. 29(7), pages 1161-1180.
    11. Hamdan, H.A. & Ghajar, R.F. & Chedid, R.B., 2012. "A simulation model for reliability-based appraisal of an energy policy: The case of Lebanon," Energy Policy, Elsevier, vol. 45(C), pages 293-303.
    12. Röpke, Luise, 2013. "The development of renewable energies and supply security: A trade-off analysis," Energy Policy, Elsevier, vol. 61(C), pages 1011-1021.
    13. Rajkumar, R.K. & Ramachandaramurthy, V.K. & Yong, B.L. & Chia, D.B., 2011. "Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy," Energy, Elsevier, vol. 36(8), pages 5148-5153.
    14. Kleyner, Andre & Sandborn, Peter, 2008. "Minimizing life cycle cost by managing product reliability via validation plan and warranty return cost," International Journal of Production Economics, Elsevier, vol. 112(2), pages 796-807, April.
    15. Wissem, Zghal & Gueorgui, Kantchev & Hédi, Kchaou, 2012. "Modeling and technical–economic optimization of an autonomous photovoltaic system," Energy, Elsevier, vol. 37(1), pages 263-272.
    16. Chaiamarit, Kunjana & Nuchprayoon, Somboon, 2013. "Modeling of renewable energy resources for generation reliability evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 34-41.
    17. Iniyan, S & Suganthi, L & Jagadeesan, T.R & Samuel, Anand A, 2000. "Reliability based socio economic optimal renewable energy model for India," Renewable Energy, Elsevier, vol. 19(1), pages 291-297.
    18. Hasan, Kazi Nazmul & Saha, Tapan Kumar & Chattopadhyay, Deb & Eghbal, Mehdi, 2014. "Benefit-based expansion cost allocation for large scale remote renewable power integration into the Australian grid," Applied Energy, Elsevier, vol. 113(C), pages 836-847.
    19. El-Tamaly, Hassan Hussein & Mohammed, Adel A. Elbaset, 2006. "Impact of interconnection photovoltaic/wind system with utility on their reliability using a fuzzy scheme," Renewable Energy, Elsevier, vol. 31(15), pages 2475-2491.
    20. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    21. Kanase-Patil, A.B. & Saini, R.P. & Sharma, M.P., 2011. "Sizing of integrated renewable energy system based on load profiles and reliability index for the state of Uttarakhand in India," Renewable Energy, Elsevier, vol. 36(11), pages 2809-2821.
    22. Kaldellis, J.K. & Zafirakis, D. & Kondili, E., 2009. "Optimum autonomous stand-alone photovoltaic system design on the basis of energy pay-back analysis," Energy, Elsevier, vol. 34(9), pages 1187-1198.
    23. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Mendoza, Franklin, 2009. "Design and economical analysis of hybrid PV-wind systems connected to the grid for the intermittent production of hydrogen," Energy Policy, Elsevier, vol. 37(8), pages 3082-3095, August.
    24. Lin, Jin & Cheng, Lin & Chang, Yao & Zhang, Kai & Shu, Bin & Liu, Guangyi, 2014. "Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 921-934.
    25. Georgilakis, Pavlos S. & Katsigiannis, Yiannis A., 2009. "Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources," Renewable Energy, Elsevier, vol. 34(1), pages 65-70.
    26. Zhang, Peng & Li, Wenyuan & Li, Sherwin & Wang, Yang & Xiao, Weidong, 2013. "Reliability assessment of photovoltaic power systems: Review of current status and future perspectives," Applied Energy, Elsevier, vol. 104(C), pages 822-833.
    27. Nottrott, A. & Kleissl, J. & Washom, B., 2013. "Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems," Renewable Energy, Elsevier, vol. 55(C), pages 230-240.
    28. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
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