Reliability Assessment of Power Generation Systems in Presence of Wind Farms Using Fuzzy Logic Method

International Journal of Smart Electrical Engineering

مقاله 3، دوره 02، شماره 2، مرداد 2013، صفحه 85-90   

نویسندگان

Shohreh Monshizadeh¹؛ Mahmoud Reza Haghifam²؛ Ali Akhavein²

¹Electrical Engineering Department, Islamic Azad University-South Tehran Branch, Tehran, Iran,

²Electrical Engineering Department, Islamic Azad University- South Tehran Branch, Tehran, Iran,

چکیده

A wind farm is a collection of wind turbines built in an area to provide electricity. Wind power is a renewable energy resource and an alternative to non-renewable fossil fuels. In this paper impact of wind farms in power system reliability is investigate and a new procedure for reliability assessment of wind farms in HL1 level is proposed. In proposed procedure, application of Fuzzy – Markov for wind speed modelling and calculating reliability indices by probabilities of generation units by calculating state transition matrix is proposed. Fuzzy logic for this method will be possible to calculate the reliability in accordance with the existing uncertainties.
Fuzzy-Markov approach is appropriate for wind farms that have insufficient data of wind speed. In this theory, by state transition probability matrix solution can be obtained probabilities of states of fuzzy- Markov model, by solving state- space differential equation. Finally, the authenticity of approach is shown with some simulation

کلیدواژه‌ها

Wind farm؛ fuzzy logic؛ Markov Model؛ Reliability indices

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