Abstract
Availability of an electrical system of a wind farm plays a crucial role among factors affecting the power output of a farm. The availability is determined by an internal collection grid topology and reliability of its components, e.g. generators, inverters, transformers, cables, switch breakers, protective relays, and busbars, to name a few. A wind farm availability’s quantitative measure can be: (i) the probability distribution of combinations of “in operation” states of the farm’s wind turbines and (ii) the expected power to be delivered to the power system. The “in operation” state of a wind turbine involves the availability of the wind turbine and other equipment necessary for the power transfer to the external grid. They can be used for the analysis of the impact of various topologies and the reliability of individual components on the availability. The second kind of analysis may be supported by the importance ranking of the components. The paper presents the approach to formulating the reliability models that is based on Bayesian networks, useful importance measures of the components and the case study that illustrates the approach application.
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References
Sannino, A., Breder, H., Nielsen, E.K.: Reliability of collection grids for large offshore wind parks. In: 9th International Conference on Probabilistic Methods Applied to Power Systems KTH, Stokholm, Sweden, 11–15 June 2006
Quinonez-Varela, G.: Electrical collector system options for large offshore wind farms. IET Renew. Power Gen. 1(2), 107–114 (2007)
Bahirat, H.J., Mork, B.A., Hoidalen, H.K.: Comparison of wind farm topologies for offshore applications. In: IEEE Power and Energy Society General Meeting (2012)
Segura-Heras, I., Escriva-Escriva, G., Alcazar-Ortega, M.: Wind farm electrical power production model for load flow analysis. Renew. Energy 36, 1008–1013 (2011)
Mabel, M.C., Raj, R.E., Fernandez, E.: Analysis on reliability aspects of wind power. Renew. Sustain. Energy Rev. 15, 1210–1216 (2011)
Ali, M., Matevosyan, J., Milanovic, J.V.: Probabilistic assessment of wind farm annual energy production. Electr. Power Syst. Res. 89, 70–79 (2012)
Darwiche, A.: Modelling and Reasoning with Bayesian Networks. Cambridge University Press (2009)
Kjaerulf, U.B., Madsen, A.L.: Bayesian Networks and Influence Diagrams. A Guide to Construction and Analysis. Springer
van der Borst, M., Schoonakker, H.: An overview of PSA importance measures. Reliab. Eng. Syst. Safety 72, 241–245 (2001)
Sobolewski, R.A.: Wind farm reliability modelling using Bayesian networks and semi-Markov processes. ActaEnergetica 3, 24 (September 2015)
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Sobolewski, R.A. (2016). Implication of Availability of an Electrical System of a Wind Farm for the Farm’s Output Power Estimation. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Dependability Engineering and Complex Systems. DepCoS-RELCOMEX 2016. Advances in Intelligent Systems and Computing, vol 470. Springer, Cham. https://doi.org/10.1007/978-3-319-39639-2_37
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DOI: https://doi.org/10.1007/978-3-319-39639-2_37
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