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Generation System Reliability Assessment Incorporating Photovoltaic Energy

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Advances in Power Systems and Energy Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 436))

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Abstract

The reliability assessment of generation system including photovoltaic energy has been described in this article. In general, the reliability analysis of power system can be done at three Hierarchical Levels, but here the reliability analysis of power system is performed at generation level. Therefore the reliability is accomplished at Hierarchical Level-I (HL-I). The intermittent nature of solar irradiance and failure rate of the components have been considered for the development of photovoltaic system. The annual solar data has been considered, in which the generation from the photovoltaic system is made into different states using Fuzzy C-Means clustering method. In addition, the Markov process has been implemented not only to obtain the probability of the photovoltaic model but also its frequency and duration for all the specified states. Finally, the Recursive Algorithm is used to evaluate the indices of the reliability for Roy Billinton Test System including photovoltaic unit.

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References

  1. Paliwal, P., Patidar, N.P., Nema, R.K.: Planning of grid integrated distributed generators: a review of technology, objectives and techniques. Renew. Sustain. Energy Rev. 40, 557–570 (2014)

    Article  Google Scholar 

  2. Krishna, K.S., Kumar, K.S.: A review on hybrid renewable energy systems. Renew. Sustain. Energy Rev. 52, 907–916 (2014)

    Article  Google Scholar 

  3. Krishna, K.S., Kumar, K.S., Edward, J.B., Balachandar, M: Design and analysis of grid connected Wind/PV hybrid system. In: Proceedings of the International Congress on Information and Communication Technology, Springer, Singapore, pp. 555–566 (2016)

    Google Scholar 

  4. Zhou, P., Jin, R.Y., Fan, L.W.: Reliability and economic evaluation of power system with renewables: a review. Renew. Sustain. Energy Rev. 58, 537–547 (2016)

    Article  Google Scholar 

  5. Zhang, S., Li, G., Zhou, M: Adequacy evaluation of wind farm integration in power generation and transmission systems. In: International Conference on Sustainable Power Generation and Supply, IEEE, pp. 1–7 (2009)

    Google Scholar 

  6. Leite, A.P., Borges, C.L., Falcao, D.M.: Probabilistic wind farms generation model for reliability studies applied to brazilian sites. IEEE Trans. Power Syst. 21(4), 1493–1501 (2006)

    Article  Google Scholar 

  7. Cai, B., Liu, Y., Ma, Y., Huang, L., Liu, Z.: A framework for the reliability evaluation of grid-connected photovoltaic systems in the presence of intermittent faults. Energy 93, 1308–1320 (2015)

    Article  Google Scholar 

  8. United States of America: Department of Defense: Military Handbook: Reliability Prediction of Electronic Equipment: MIL-HDBK-217F. Department of defense (1991)

    Google Scholar 

  9. Bezdek, J.C., Ehrlich, R., Full, W.: FCM: The fuzzy c-means clustering algorithm. Comput. Geosci. 10(2–3), 191–203 (1984)

    Article  Google Scholar 

  10. Manco, T., Testa, A.: A markovian approach to model power availability of a wind turbine. In: Power Tech, IEEE Lausanne, pp. 1256–1261 (2007)

    Google Scholar 

  11. Shamshad, A., Bawadi, M.A., Hussin, W.W., Majid, T.A., Sanusi, S.A.M.: First and second order markov chain models for synthetic generation of wind speed time series. Energy 30(5), 693–708 (2005)

    Article  Google Scholar 

  12. Billinton, R., Kumar, S., Chowdhury, N., Chu, K., Debnath, K., Goel, L., Oteng-Adjei, J.: A reliability test system for educational purposes-basic data. IEEE Trans. Power Syst. 4(3), 1238–1244 (1989)

    Article  Google Scholar 

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Correspondence to K. Shivarama Krishna .

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Shivarama Krishna, K., Sathish Kumar, K. (2018). Generation System Reliability Assessment Incorporating Photovoltaic Energy. In: Garg, A., Bhoi, A., Sanjeevikumar, P., Kamani, K. (eds) Advances in Power Systems and Energy Management. Lecture Notes in Electrical Engineering, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-4394-9_63

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  • DOI: https://doi.org/10.1007/978-981-10-4394-9_63

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