Abstract
Wind power is regarded as the most suitable environment friendly alternative to conventional bulk power generation. Many countries around the world are rapidly installing wind farms, and several nations have already arrived at a position where a significant portion of their electric energy supply is contributed by wind power. Wind power generation is mainly dependant on the wind characteristics at the particular location and has an uncertain and random nature.
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References
Eriksen PB, Ackermann T, Abildgaard H, Smith P, Winter W, Rodriguez Garcia JM (2005) System operation with high wind penetration. Power Energ Mag IEEE 3:65–74
Costa A, Crespo A, Navarro J, Lizcano G, Madsen H, Feitosa E (2008) A review on the young history of the wind power short-term prediction. Renew Sustain Energ Rev 12(8):1725–1744
Ernst B (2012) Wind power prediction. In: Ackermann T (ed) Wind power in power systems, 2nd edn. Wiley, Chichester, pp 753–766
Box GEP, Jenkins GM (1970) Time series analysis; forecasting and control. Holden-Day, San Francisco
Milligan M, Schwartz M, Wan Y (2003) Statistical wind power forecasting models: results for U.S. wind farms. Nat Renew Energ Lab May 2003 Available: http://www.nrel.gov/docs/fy03osti/33956.pdf
Nielsen TS, Joensen A, Madsen H, Landberg L, Giebel G (1999) A new reference for wind power forecasting
Billinton R, Karki B, Karki R, Ramakrishna G (2009) Unit commitment risk analysis of wind integrated power systems. IEEE Trans Power Syst 24:930–939
Thapa S, Karki R, Billinton R (2011) Evaluation of wind power commitment risk in system operation. In: Electrical power and energy conference (EPEC), 2011 IEEE, pp 284–289
Karki R, Thapa S, Billinton R (2012) Operating risk analysis of wind-integrated power systems. Electr Power Compon Syst 40:399–413
Karki R, Thapa S, Billinton RB (2012) A simplified risk-based method for short-term wind power commitment. IEEE Trans Sustain Energ PP:1
Billinton R, Chen H, Ghajar R (1996) Time-series models for reliability evaluation of power systems including wind energy. Microelectron Reliab 36(9):1253–1261
Giorsetto P, Utsurogi KF (1983) Development of a new procedure for reliability modeling of wind turbine generators. IEEE Trans Power Apparatus Syst PAS-102:134–143
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Thapa, S., Karki, R., Billinton, R. (2013). Application of Hourly Time Series Models in Day-ahead Wind Power Commitment. In: Billinton, R., Karki, R., Verma, A. (eds) Reliability and Risk Evaluation of Wind Integrated Power Systems. Reliable and Sustainable Electric Power and Energy Systems Management. Springer, India. https://doi.org/10.1007/978-81-322-0987-4_4
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DOI: https://doi.org/10.1007/978-81-322-0987-4_4
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