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논문 기본 정보

자료유형
학술저널
저자정보
Rajeevan.A.K. (Cochin University of Science and Technology) P.V Shouri (Model Engineering College) Usha Nair (Cochin University of Science and Technology)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.11 No.4
발행연도
2016.7
수록면
869 - 877 (9page)

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초록· 키워드

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Necessity has compelled man to improve upon the art of tapping wind energy for power generation; an apt reliever of strain exerted on the non-renewable fossil fuel. The power generation in a Wind Farm (WF) depends on site and wind velocity which varies with time and season which in turn determine wind power modeling. It implies, the development of an accurate wind speed model to predict wind power fluctuations at a particular site is significant. In this paper, Box-Jenkins ARIMA (Auto Regressive Integrated Moving Average) time series model for wind speed is developed for a 99MW wind farm in the southern region of India. Because of the uncertainty in wind power developed, the economic viability and reliability of power generation is significant. Life Cycle Costing (LCC) method is used to determine the economic viability of WF generated power. Reliability models of WF are developed with the help of load curve of the utility grid and Capacity Outage Probability Table (COPT). ARIMA wind speed model is used for developing COPT. The values of annual reliability indices and variations of risk index of the WF with system peak load are calculated. Such reliability models of large WF can be used in generation system planning.

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Abstract
1. Introduction
2. Capacity Factor
3. Methodology
4. Reliability Modeling
5. Economic Aspects of Wind Power Generation
6. Results and Discussion
7. Conclusion
References

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