Improvement in the reliability performance of power distribution systems

##plugins.themes.academic_pro.article.main##

P. Chandhra Shekar
R. A. Deshpande
V. Sankar
P. Manohar

Abstract

Reliability assessment is of primary importance in designing and planning distribution systems that operate in an economical manner with minimal interruption of customer loads. Distributed Generation (DG) is expected to play an increasing role in emerging power systems because they use different type of resources and technologies to serve energy to power systems. DG is expected to improve the system reliability as its backup generation. Since DG units are subject to failures like all other generation units, the random behavior of these units must be taken into account in the analysis. Existence of DG units in a distribution system will effect on restoration time of load points. The algorithm for restoration time assessment of load point is developed when DG unit is installed. In this paper, the reliability performance of distribution system is analyzed in terms of SAIFI, SAIDI, CAIDI, ASAI, ASUI, ENS and AENS. The algorithm to calculate the reliability indices for simple 9-bus radial distribution feeder with and without DG is developed. The improvement in the reliability of the feeder is studied for different locations of DG with respect to fault point. All the above analysis is carried out by developing MATLAB software.

##plugins.themes.academic_pro.article.details##

How to Cite
Chandhra Shekar, P., Deshpande, R. A., Sankar, V., & Manohar, P. (2014). Improvement in the reliability performance of power distribution systems. Power Research - A Journal of CPRI, 695–702. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/768

References

  1. R Billinton and Ronald N Allan, Reliability Evaluation of Power Systems, Second edition, 2007, Springer publications.
  2. A AChowdhury and D O Koval, Thomas E Mcdermott and Roger C Dugan, Power Distribution System Reliability; Practical methods and applications, John Wiley & Son, New Jersey, 2009.
  3. Thomas E Mcdermott and Roger C Dugan, “PQ, Reliability and DG”, IEEE Industry Application magazine, Sept. /Oct. 2003, pp. 17-23.
  4. Y Juan, S Ming and D Bo, “Research about Impact of DGs in Distribution Network”, IEEE Industry Application magazine, Sept./Oct. 2003, pp. 1-6.
  5. P Jahangiri and M Fotuhi-Firuzabad, “Reliability Assessment of Distribution System with Distributed Generation”, 2nd IEEE International Conference on Power and Energy, Dec. 2008, Malaysia, pp. 15511556.
  6. I Waseem, M Pipattanasomporn and S Rahman, “Reliability Benefits of Distributed Generation as a Backup Source”, Power & Energy Society General Meeting, IEEE, July 2009, Canada, pp. 1-8.
  7. S X Wang, Wei Zhao and Y YChen, “Distribution System Reliability Evaluation Considering DG Impacts”, 3rd International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, April 2008, China, pp. 2603-2607.
  8. Yue Yuan, Kejun Qian and Chengke Zhou, “The Effect of Distributed Generation on Distribution System Reliability”, 42nd International Universities Power Engineering Conference, Sept. 2007, UK, pp. 911-916.
  9. GuoquanWang, Zongqi Liu, Nian Liu and Jianhua Zhang, “Reliability Evaluation of Distribution System with Distributed Generation Based On Islanding Algorithm”, 3rd International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, April 2008, China, pp. 2697-2701.
  10. In-Su Bae and Jin-O Kim, “Reliability Evaluation of Distributed Generation Based on Operation Mode”, IEEE Transactions on Power System, Vol. 22, No. 2, May 2007, pp. 785-790.
  11. A Ngaopitakkul, C Pothisarn, S Bunjongjit, B Suechoey, C Thammart and A Nawikavatan, “A Reliability Impact and Assessment of Distributed Generation Integration to Distribution System”, Energy and Power Engg., Vol. 5, July 2013, pp. 1043-1047.

Most read articles by the same author(s)

1 2 > >>