DocumentCode :
2593030
Title :
Wind Farm Modeling in Reliability Assessment of Power System
Author :
Haghifam, M. -R ; Omidvar, M.
Author_Institution :
Dept. of Electr. Eng., Tarbiat Modarres Univ., Tehran
fYear :
2006
fDate :
11-15 June 2006
Firstpage :
1
Lastpage :
5
Abstract :
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 nonrenewable fossil fuels. In this paper impact of wind farm in power system reliability is investigated and a new procedure for reliability assessment of power systems with wind farm in HLII is proposed. In proposed procedure, a wind farm is given as a generation with probabilistic and stochastic generation. Historical wind velocities in past years are used for extraction of probabilistic distribution function for velocity and therefore for output electric power. Using this function, the output power of wind farm is divided into multi state. Each state shows a certain output electric power with certain probability for occurrence. The effect of wind farm on composite system reliability is evaluated with consideration proposed model for wind power and mathematical expectation concepts. As case study a portion of Iran power system grid in south east of Iran is selected. As historical data, wind velocity for twenty past years is gathered and used for modeling. The results in this real network are reported in this paper
Keywords :
power generation reliability; power grids; power system simulation; statistical distributions; stochastic processes; wind power plants; wind turbines; HLII; Iran power system grid; mathematical expectation concepts; power system reliability assessment; probabilistic distribution function; probability; renewable energy resource; stochastic generation; wind farm modeling; wind turbines; Fossil fuels; Power system modeling; Power system reliability; Renewable energy resources; Stochastic processes; Wind energy; Wind energy generation; Wind farms; Wind speed; Wind turbines; Modeling; Probability; Reliability; Renewable Energy; Wind Farm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
Type :
conf
DOI :
10.1109/PMAPS.2006.360414
Filename :
4202377
Link To Document :
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