Adequacy analysis of electric power systems with wind and solar power stations

Dmitriy Karamov; Sergey Perzhabinsky

doi:10.1051/e3sconf/20185802019

All issues

Volume 58 (2018)

E3S Web Conf., 58 (2018) 02019

References

Open Access

Issue		E3S Web Conf. Volume 58, 2018 Rudenko International Conference “Methodological problems in reliability study of large energy systems” (RSES 2018)


Article Number		02019
Number of page(s)		5
Section		Models and Methods for Assessing the Reliability of Intelligent Energy Systems
DOI		https://doi.org/10.1051/e3sconf/20185802019
Published online		10 October 2018

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D.S. Krupenev, S.M. Perzhabinskiy, Assessment of the reliability of electric power systems with wind power plants, J. Proceedings of the Russian Academy of Sciences. Power Engineering, 2, (2017) [Google Scholar]
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S.M. Perzhabinsky ., D.N. Karamov. Method for analysing the adequacy of electric power systems with wind power plants and energy storages. E3S Web of Conferences, 2017, Vol. 25, no. 1. 1–5. [Google Scholar]
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[1] G.F. Kovalev, L.M. Lebedeva, Reliability of power systems (Novosibirsk, Nauka, 2015, 224 p.) [Google Scholar]

[2] R. Billinton, R.N. Allan, Reliability Evaluation of Power Systems, Plenum Publishing (New York, 1996) [CrossRef] [Google Scholar]

[3] Yu. YA. Chukreev, Model of reliability of electric power systems (Syktyvkar, Nauka, 1995, 176 p.) [Google Scholar]

[4] Y.N. Rudenko, M.B. Chelcov Reliability and redundancy in power systems (Novosibirsk, Nauka, 1974, 263 p.) [Google Scholar]

[5] G.F. Kovalev, L.M. Lebedeva, Complex models of optimizing the design state regimes in assessing the reliability of electric power systems (Irkutsk, ESI SB RAS, 2000, 73 p.) [Google Scholar]

[6] D.S. Krupenev, S.M. Perzhabinskiy, Algorithm for optimizing the balance reliability of electric power systems, J. Proceedings of the Russian Academy of Sciences. Power Engineering, 2, (2014) [Google Scholar]

[7] D.S. Krupenev, S.M. Perzhabinskiy, Applying average dual estimations in algorithm for optimal reliability of electic power system, J. Managing large systems, 54, (2015) [Google Scholar]

[8] D.S. Krupenev, S.M. Perzhabinskiy, Assessment of the reliability of electric power systems with wind power plants, J. Proceedings of the Russian Academy of Sciences. Power Engineering, 2, (2017) [Google Scholar]

[9] Y. Li., E. Zio. Uncertainty analysis of the adequacy assessment model of a distributed generation system // Renewable Energy. – 2012. – V. 41. – p. 235–244. [CrossRef] [Google Scholar]

[10] R. Rocchetta., Y.F. Li., E. Zio. Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions // Reliability Engineering & System Safety. – 2015. – V. 136. – p. 47–61. [CrossRef] [Google Scholar]

[11] Y. Li., E. Zio. A multi-state model for the reliability assessment of a distributed generation system via universal generating function // Reliability Engineering & System Safety. – 2012. – V. 106. – p. 28–36. [CrossRef] [Google Scholar]

[12] U. Oh, J. Choi, H-h. Kim. Development of Reliability Contribution Function of Power System including Wind Turbine Generators combined with Battery Energy Storage System // The Transactions of The Korean In-stitute of Electrical Engineers. – 2016. – V. 65. – p. 371–381. [CrossRef] [Google Scholar]

[13] W. Wangdee, R. Billinton. Reliability assessment of bulk electric systems containing large wind farms // International Journal of Electrical Power & Energy Systems. – 2007. – V. 29. – p. 759–766. [CrossRef] [Google Scholar]

[14] K. Xie., R. Bilinton. Energy and reliability benefits of wind energy conversion systems// Renewable Energy. – 2011. – V. 366. – p. 1983–1988. [CrossRef] [Google Scholar]

[15] R Billinton, H. Chen, R. Ghajar. Time-series models for reliability evaluation of power systems including wind energy // Reliability evaluation of power systems. – 1996. – V. 36. – p. 1253–1261. [Google Scholar]

[16] R. Ak, Y-F. Li, V. Vitelli, E. Zio. Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load // International Journal of Electrical Power & Energy Systems. – 2018. – V. 98. – p. 213–226. [CrossRef] [Google Scholar]

[17] N. Shi, Y, Luo. Energy Storage System Sizing Based on a Reliability Assessment of Power Systems Integrated with Wind Power // Sustainability. – 2017. – V. 9. – p. 395–415. [CrossRef] [Google Scholar]

[18] M. N. Scheu, D. Matha, M. Muskulus. Validation of a Markov-based Weather Model for Simulation of O&M for Offshore Wind Farms // The Twenty-second International Offshore and Polar Engineering Conference. – 2012. – p. 1–6. [Google Scholar]

[19] M. N. Scheu, A. Kolios, T. Fischer, F. Brennan. Influence of statistical uncertainty of component reliability estimations on offshore wind farm availability // Reliability Engineering & System Safety. – 2017. – V. 168. – p. 28–39. [CrossRef] [Google Scholar]

[20] A. Ilinca, E. McCarthy, J.-L. Chaumel, J.-L. Retiveau. Wind potential assessment of Quebec Province // Renewable Energy. – 2003. – V. 28. – p. 1881–1897. [CrossRef] [Google Scholar]

[21] W. Jojola-Talburt, J. Reimann, A. John. Native American Wind Resource Atlas. Office of Indian Energy and Economic Development. Division of Energy and Mineral Development. 2010 Edition. URL: https://www.bia.gov/sites/bia.gov/files/assets/as-ia/ieed/ieed/pdf/idc013229.pdf [Google Scholar]

[22] Nikolaev V.G, Ganaga S.V, Kudryashov Yu.I, National cadaster of Russia wind energy resources and methodology for their determination (Moscow, Atmograph, 2008. 584 p) [Google Scholar]

[23] Nikolaev V.G. Resource and feasibility study of large-scale development of wind power in Russia (Moscow, Atmograph, 2011. 501 p) [Google Scholar]

[24] V.I. Zorkaltsev, S.M. Perzhabinskiy, Model of shortage optimization in electric power system, J. Managing large systems, 30.1, (2010) [Google Scholar]

[25] Karamov D.N. Mathematical modelling of an autonomous power supply system using renewable energy sources.Bulletin of Irkutsk State Technical University, 2015, Vol. 104, no. 9, pp. 133–140. In Rus. [Google Scholar]

[26] Karamov D.N. Mathematical modeling of solar radiation based on open access long-term meteorological observation data. Bulletin of the Tomsk Polytechnic University. Geo Аssets Engineering, 2017, Vol. 328, no. 6. 28–37. In Rus. [Google Scholar]

[27] S.M. Perzhabinsky ., D.N. Karamov. Method for analysing the adequacy of electric power systems with wind power plants and energy storages. E3S Web of Conferences, 2017, Vol. 25, no. 1. 1–5. [Google Scholar]

[28] Wong L.T., Chow W.K. Solar radiation model // Applied Energy. – 2001. – V. 69. – p. 191–224. [CrossRef] [Google Scholar]

[29] Kasten F., Czeplak G. Solar and terrestrial radiation dependent on the amount and type of cloud // Solar Energy. – 1980. – V. 24. – p. 177–189. [CrossRef] [Google Scholar]