Presenting a New Algorithm for Determining Optimal Replaceable Capacity of Conventional Power Plants by Renewable Power Plants Based on Monte Carlo Method

Document Type : Persian

Authors

1 MSc Student, Department of Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran

2 Assistant Professor, Department of Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran

3 Lecturer, Department of Engineering, Khomeinishahr Branch, Islamic Azad University, Isfahan, Iran

Abstract

Given the substitution process of generators using renewable energy sources instead of conventional generators in modern power systems, this paper proposes a Monte Carlo based method to determine an optimal level of this change. At first, LOLE index of the system was calculated without wind power to obtain the reference index. Then, the wind turbine units are replaced with the conventional generators. This purpose has been achieved in stages with the gradually reduced portion of conventional generators and increased portion of the of wind turbine generators in order to pave the way for the calculation of the required amount of wind power using Monte Carlo simulation method. The LOLE index at each step was compared with the base LOLE index. In the end, the 5% annual load increment rate in the development strategy with the focus on sole wind power generation was investigated and the power needed for each load increment was calculated. The proposed method was implemented on IEEE-RTS system

Keywords

References

[1]     Billinton R., Allan R.N., Reliability Evaluation of Power Systems, 2nd Edition, Plenum Press, New York, 1996.
[2]     Abouzahr I., Ramakumar R., An approach to assess the performance of utility-interactive wind electric conversion systems, IEEE Transactions on Energy Conversion, vol. 6, no. 4, December, 1991, pp. 627-638.
[3]     Billinton R., Chen H., Ghajar R., Time-series models for reliability evaluation of power systems including wind energy, Microelectronics Reliability, vol. 36, No. 9, September, 1996, pp. 1253-1261.
[4]     Giorsetto P., Utsurogi K.F., Development of a new procedure for reliability modeling of wind turbine generators, IEEE Transactions on Power Apparatus and Systems, vol. 102, No. 1, January, 1983, pp. 134-143.
[5]     Karki R., Hu P., Billinton R., Reliability evaluation of a wind power delivery system using an approximate wind model, 41st International Universities Power Engineering Conference, Newcastle, UK, September 6th-8th, 2006.
[6]     Wangdee W., Bulk electric system reliability simulation and application, Ph.D. thesis, University of Saskatchewan, 2005.
[7]     Karki R., Billinton R., Maintaining supply reliability of small isolated power systems using renewable energy, IEE Proceedings Generation, Transmission and Distribution, vol. 148, No. 6, November, 2001 pp. 530-534.
[8]     Karki R., Billinton R., Cost-effective wind energy utilization for reliable power supply, IEEE Transactions on Energy Conversion, vol. 19, No. 2, June, 2004, pp. 435-440.
[9]     Billinton R., Bai G., Generating capacity adequacy associated with wind energy, IEEE Transactions on Energy Conversion, vol. 19, No. 3, September, 2004, pp. 641-646.
[10] Karki R., Billinton R., Reliability/cost implications of PV and wind energy utilization in small isolated power systems, IEEE Transactions on Energy Conversion, vol. 16, No. 4, December, 2001, pp. 368-373.
[11] Pandit S.M., Wu S.M., Time Series and System Analysis with Application, John Wiley & Sons, Inc., 1983.
[12]  Billinton R., Li W., Reliability Assessment of Electrical Power Systems Using Monte Carlo Methods, Plenum Publishing, New York, 1994.
 
 

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