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Reliability based power systems planning and operation with wind power integration: A review to models, algorithms and applications

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  • Lin, Jin
  • Cheng, Lin
  • Chang, Yao
  • Zhang, Kai
  • Shu, Bin
  • Liu, Guangyi

Abstract

Wind energy has been considered as an important substitution of fossil-based energy for future society. However large-scale integration of wind power will introduce great risks to both power system planning and operation due to its stochastic nature. By adopting power system reliability theory, the risks can be quantitatively estimated so that numerous publications have been published to study reliability impacts caused by wind power. This paper thoroughly investigates the features of existing reliability models of wind power, reliability assessment algorithms and its applications in wind power related decision making problems. The paper also reveals significant differences existed in reliability models and algorithms between planning and operational phase of power systems, which are neglected in existing review articles.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:31:y:2014:i:c:p:921-934
    DOI: 10.1016/j.rser.2013.12.034
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    References listed on IDEAS

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    Cited by:

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    12. Lu, H.W. & Pan, H.Y. & He, L. & Zhang, J.Q., 2016. "Importance analysis of off-grid wind power generation systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 999-1007.
    13. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
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    15. Chang-Gi Min & Mun-Kyeom Kim, 2017. "Flexibility-Based Evaluation of Variable Generation Acceptability in Korean Power System," Energies, MDPI, vol. 10(6), pages 1-12, June.
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    19. Ali Kadhem, Athraa & Abdul Wahab, Noor Izzri & Aris, Ishak & Jasni, Jasronita & Abdalla, Ahmed N., 2017. "Computational techniques for assessing the reliability and sustainability of electrical power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1175-1186.

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