Reliability Improvement of System Reconfiguration by Considering the Time-varying Load with Optimal Scheduling of Distributed Generations

Authors

  • Wunna Thu Wunna Thu,Yangon Technological University, The Union of Myanmar
  • Phoo Ngone Si Phoo Ngone Si,Yangon Technological University, The Union of Myanmar

Keywords:

Distributed generation, Fuzzy algorithm, Loss reduction, Optimum position, System reliability.

Abstract

The distributed generation (DG) locations have significant impacts on network configuration and loss. By fixing DGs in suitable optimal locations and by generation power based on the load conditions, the total power loss in the system can be reduced and the system reliability can be improved. Distribution system reliability assessment is able to predict the interruption profile of a distribution system based on system topology and component reliability data. In this paper, Fuzzy algorithm is used to obtain the optimum position and size of DG units in the distribution network in order to reduce network loss at the lowest cost. Also, a time-varying load curve for optimal scheduling of DGs considering active power loss and DG cost is used. The result shows the improvement of bus voltage profile and decrease losses due to install the optimal size of DGs by optimal scheduling of distributed generations. The test system is Yangon 66kv; 45-bus and the results obtained reveal the effectiveness of proposed method.

References

[1] “IEEE Guide for Electric Power Distribution Reliability Indices”, IEEE Standard 1366, 2003 Edition
[2] R. Billinton, “Distribution System Reliability Evaluation”, IEEE tutorial course- Power System Reliability Evaluation
[3] P. P Barker. and R. W. De Mello, “Determining the impact of distributed generation on power systems: Part 1- Radial distribution systems,” IEEE Power technology, Inc, Vol. 3, pp. 1645–1656, 2000
[4] T. Gozel and M. H. Hocaoglu, “An analytical method for the sizing and siting of distributed generators in radial systems,” Electric Power System, Vol. 79, pp. 912–918, 2009.
[5] A. Pregelj, M. Begovic, and A. Rohatgi, “Recloser allocation for improved reliability of DG enhanced distribution networks,” IEEE Transaction on Power System, Vol. 20, pp. 1442–1449, 2006.
[6] Allan. R.N, R. Billinton and Shale, “Bibliography on the Application of Probability Methods in Power System Reliability Evaluation 1977-1982”, IEEE Trans. On Power Apparatus and Systems, Vol. PAS- 103, No. 2, Feb. 1984.
[7] R.Billinton, J.E.Billinton., ‘Distribution System Reliability Indices’ – IEEE Transaction on Power Delivery, Vol.4, No.1, January 1989.
[8] [8] Andrade WS, Borges CLT, Falca ˜o DM. “Modeling Reliability Aspects of Distributed Generation Connected to Distribution Systems”. Proceedings of IEEE Power Engineering Society, General Meeting, Montreal, Canada, 2006.

Downloads

Published

2016-11-18

How to Cite

Thu, W., & Si, P. N. (2016). Reliability Improvement of System Reconfiguration by Considering the Time-varying Load with Optimal Scheduling of Distributed Generations. American Scientific Research Journal for Engineering, Technology, and Sciences, 26(3), 31–41. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/2281

Issue

Vol. 26 No. 3 (2016)

Section

Articles

License

Authors who submit papers with this journal agree to the following terms.