A New Approach for Modeling Wind Power in Reliability Studies

Document Type : Research paper

Author

Department of Electrical Engineering, Tuyserkan Branch, Islamic Azad University, Tuyserkan, Iran

Abstract

Tremendous growth of wind power worldwide in the past decade requires serious research in various fields. Because wind power is weather dependent, it is stochastic and varies over various time-scales. Therefore, accuracy in wind power modeling is recognized as a major contribution for reliable large-scale wind power integration. In this paper, a method for generating synthetic wind power is proposed. The proposed method combines the random nature of wind with the operational information of the wind turbines (i.e., failure and repair rates). It uses chronological or sequential Monte Carlo Simulation (MCS) instead of non-sequential one owing to its usefulness and flexibility in preserving statistical characteristics of the chronological processes. The validity of the synthetic values generated by the proposed method and the Auto Regressive Moving Average (ARMA) time series is compared with the measured data in terms of reliability indices. Finally, the effect of some network parameters, such as network dimensions, the average coefficient of wind speed on the reliability of the power system has been evaluated. In this regard, historical wind speed data of Manjil area located in the north of Iran is used.

Keywords

References

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Journal of Operation and Automation in Power Engineering
Volume 11, Issue 2
August 2023
Pages 144-150

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History

  • Receive Date: 05 January 2022
  • Revise Date: 11 February 2022
  • Accept Date: 09 April 2022
  • First Publish Date: 24 April 2022

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