Research on Reliability Assessment of Power System with Wind Farms

Article Preview

Abstract:

Due to randomness and fluctuation of wind speed, reliability of power system will be affected severely with increasing wind energy injected into power grid. In order to evaluate the effect on reliability of power system with wind farms, the author considers feature of time-sequential and self-correlation of wind speeds and builds an auto-regressive and moving average (ARMA) model to forecast wind speeds. Combining with state models of conventional generating units, transmission lines and transformers, a time-sequential Monte Carlo simulation reliability model is proposed to do reliability assessment of composite generation and transmission system with wind farm. IEEE-RTS test system is introduced to prove the proposed model. Analysis and comparison of results show that reliability can be improved clearly after integration of wind farm.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 608-609)

Pages:

588-591

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Roy Billinton, Yi Gao. Multistate wind energy conversion system models for adequacy assessment of generating systems incorporating wind energy. IEEE Trans on energy conversion, (2008); 23(1):163-170.

DOI: 10.1109/tec.2006.882415

Google Scholar

[2] Rajesh Karki, Roy Billinton. Reliability/Cost implication of PV and wind energy utilization in small isolated power systems. IEEE Trans on energy conversion, (2001); 16(4):368-373.

DOI: 10.1109/60.969477

Google Scholar

[3] A.A. Chowdhury. Reliability model for large wind farms in generation system planning. Power Engineering Society General Meeting, (2005). IEEE, pp.1-7.

DOI: 10.1109/pes.2005.1489161

Google Scholar

[4] Xu Liu, A.A. Chowdhury, D.O. Koval. Reliability evaluation of a wind-diesel-battery hybrid power system. Industrial and Commercial Power Systems Technical Conference, (2008). ICPS 2008. IEEE/IAS, pp.1-8.

DOI: 10.1109/icps.2008.4606290

Google Scholar

[5] Andrea P.Leite, Carmen L.T. Borges. Probability wind farms generation model for reliability studies applied to Brazilian sites. IEEE Trans on power systems, (2006); 21(4):1493-1501.

DOI: 10.1109/tpwrs.2006.881160

Google Scholar

[6] C.Singh, Y.Kim. An efficient technique for reliability analysis of power system including time dependent sources. IEEE Trans on power systems, (1988); 3(3):1090-1096.

DOI: 10.1109/59.14567

Google Scholar

[7] A. Ehsani, M. Fotuhi. An analytical method for the reliability evaluation of wind energy systems, Tencon 2005 IEEE Region 10, (2005), pp.1-7.

DOI: 10.1109/tencon.2005.300832

Google Scholar

[8] Francois Vallee, Jacques Lobry, Olivier Deblecker. System reliability assessment method for wind power integration. IEEE Trans on power systems, (2008); 23(3):1288-1297.

DOI: 10.1109/tpwrs.2008.926090

Google Scholar

[9] Armando M.Leite da Silva, Luiz Antonio F.Manso. Application of Monte Carlo Simulation to generating system well-being analysis considering renewable sources. 8th International conference on probabilistic methods applied to power systems, Iowa, (2004), pp.439-444.

DOI: 10.1109/pmaps.2006.360223

Google Scholar

[10] IEEE Reliability Test System. IEEE Transaction on power apparatus and systems, (1997), 98(6):2047-2054.

Google Scholar