Wind Power Modeling Using Fuzzy-Markov Approach in Power System Reliability
Subject Areas : electrical and computer engineering
Ahmad
Ghaderi
1
(Tarbiat Modares University)
2
(Tarbiat Modares University)
Keywords: Capacity credit fuzzy-Markov Markov chain Monte Carlo simulation wind power,
Abstract :
As intermittent wind power generation becomes more significant in power generation, it becomes increasingly important to assess its impact on the generation reliability of power systems. Therefore, it is the objective of this paper to evaluate the impact of wind power on the power system reliability. In this paper, different approaches of wind power modeling are explained. Markov chain Monte Carlo (MCMC) and ARMA method are used to model of wind power output. Then Fuzzy-Markov method for wind power modeling is proposed. The proposed method is capable of modeling wind farms that have insufficient wind speed data. Finally, capacity credit of wind power is calculated.
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