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

Subject Areas : International Journal of Smart Electrical Engineering

Shohreh Monshizadeh ¹ ( Electrical Engineering Department, Islamic Azad University-South Tehran Branch, Tehran, Iran, )
Mahmoud Reza Haghifam ² ( Electrical Engineering Department, Islamic Azad University- South Tehran Branch, Tehran, Iran, )
Ali Akhavein ³ ( Electrical Engineering Department, Islamic Azad University- South Tehran Branch, Tehran, Iran, )

Received: 2015-04-13 Accepted : 2015-04-13 Published : 2013-03-01

Keywords: fuzzy logic, Wind farm, Markov Model, Reliability indices,

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 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

References:

[1]

R.Billinton, S.Kumar, N.Chowdhury and K.Chu, “A Reliability Test System For Educational Purposes-Basic Data”, IEEE Transaction on Power System, , Vol.4, No.3, pp.1238–1244, 1989.

[2]

R.Billinton and R.Allan,“Reliability Evalution of Power Systems”, 2nded, New York; Plenum, 1996.

[3]

B.EUA-Approrn, A.Karunanoon,“Reliability Evaluation in Electrical Power Generation With Uncertainty Modeling by Fuzzy Number”, IEEE Conference on Power Engineering Society Summer Meeting, Vol.4, pp.2051–2056, 2000.

[4]

M.Fotuhi, A.Ghafouri, “Uncertainty Consideration in Power System Reliability Indices Assessment Using Fuzzy Logic Method ”, IEEE Conference on Large Engineering System, pp.305-309, 2007.

[5]

R.Billinton, M.S.Grover,“ Reliability Assessment of Trans and Distribution Schemes”, IEEE Trans on Power Apparatus and Systems, Vol.94, Iss.3, pp.724-732, 1975.

[6]

Wook-Won.Kim, Jin-O.Kim, “Reliability Cost of Battery With Wind Farm”, 10th IEEE Conference on TENCON, Bali, pp.981–985, 2011.

[7]

C.Nemes, F.Munteanu,“ Reliability Consideration on Wind Farms Energy Production”, 13th International Conference on OPTM, Brasov, pp.183–187, 2012.

[8] J.Nikukar, “ Modeling of Wind Farms in Raliability Study by Means of Mont Carlo Simulation”, 12th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering, pp.140-144, 2010.

[9] M.Tanrioven, Q.H.Wu, D.R.Turner, C.Kocatepe and J.Wang, “A New Approach to Real- Time Reliability Analysis of Transmition System Using Fuzzy Marvov Model”,International Journal of Electrical Power & Energy Systems, ELSEVIER, Vol.26, No.10, pp.821–832, 2004.

[10]

H.J. Zimermann,“ Fuzzy Set Theory and it's Applications”,4th ed Springer, pp.514, 2001.

[11] A.Ghaderi, M.R.Haghifam,“Wind power Modelling Using Fuzzy-Markov Approach in Power System Reliability”, Scientific Information Database (SID), pp.101-106,