An Optimal Load Shedding Approach for Distribution Networks with DGs considering Capacity Deficiency Modelling of Bulked Power Supply
Creators
Description
This paper discusses a genetic algorithm (GA) based optimal load shedding that can apply for electrical distribution networks with and without dispersed generators (DG). Also, the proposed method has the ability for considering constant and variable capacity deficiency caused by unscheduled outages in the bulked generation and transmission system of bulked power supply. The genetic algorithm (GA) is employed to search for the optimal load shedding strategy in distribution networks considering DGs in two cases of constant and variable modelling of bulked power supply of distribution networks. Electrical power distribution systems have a radial network and unidirectional power flows. With the advent of dispersed generations, the electrical distribution system has a locally looped network and bidirectional power flows. Therefore, installed DG in the electrical distribution systems can cause operational problems and impact on existing operational schemes. Introduction of DGs in electrical distribution systems has introduced many new issues in operational and planning level. Load shedding as one of operational issue has no exempt. The objective is to minimize the sum of curtailed load and also system losses within the frame-work of system operational and security constraints. The proposed method is tested on a radial distribution system with 33 load points for more practical applications.
Files
7942.pdf
Files
(473.2 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:559c58c5f237d2496a04c76ca64b124d
|
473.2 kB | Preview Download |
Additional details
References
- D.E. Goldberge, "Genetic Algorithms in Search, Optimization and Machine Learning", Addison-Wesely, Reading, Ma. 1989
- Ackermann,T.; Andersson,G.; Soder, L.; "Distributed Generation: A Definition" , Electric Power Systems Research, Vol 57, 2001, pp 195- 204.
- W. El-Khattam, M. M. A. Salama, "Distributed generation technologies, definitions and benefits", Electric Power Systems Research, Vol 71, 2004, pp 119-128.
- Daly, P.A.; Morrison, J; "Understanding the Potential Benefits of Distributed Generation on Power Delivery Systems" IEEE Power Engineering Society Summer Meeting pp. A2-1/A2-13
- Dugan, R.C.; McDermott, T. E.; "Operating Conflicts for Distributed Generation on Distribution Systems", IEEE Power Engineering Society Summer Meeting, ppA3-1/A3-6
- K. Aoki, N. Nara, M. Itoh and T. Satoh and H. Kuwabara, "A new algorithm for service restoration in distribution systems" IEEE PWRD, 4(3):1832-1839, 1989
- N.D.R. Sarma, S. Ghosh, K.S. Prakasa Rao and M. Srinivas, "Real time service restoration in distribution networks - a practical approach" IEEE PWRD, 9(4):2064-2070, 1994
- P. Wang and R. Billinton, "Optimum load-shedding technique to reduce the total customer interruption cost in a distribution system", IEE Proc. - Gener. Transm.Distrib., Vol. 147, No. 1, pp. 51-56, Jan. 2000.
- Ding Xu and Adly Girgis. "Optimal Load Shedding Strategy in Power Systems with Distributed Generation", IEEE Winter meeting, Power Engineering Society, 2001, V01.2, pp.788-792. [10] W.P. Luan, M.R. Irving and J.S. Daniel "Genetic algorithm for supply restoration and optimal load shedding in power system distribution networks", IEE Proc- Gener. Transm. Distrib, Vol 149, No. 2, March 2002. [11] P.S. Nagendra Rao and K.S. Papa Rao, "An efficient load shedding algorithm for radial systems", TENCON 2003. IEEE Region [12] A. R. Malekpour, A. R. Seifi, M. R. Hesamzadeh, "Considering Dispersed Generation in Optimal Load Shedding for Distribution Networks", 14th Iranian Conference on Electrical Engineering, ICEE2006 [13] Mardaneh M, Gharehpetian, G.B, "Siting and sizing of DG units using GA and OPF based technique", TENCON 2004. 2004 IEEE Region 10 Conference [14] B.Venkatesh, R.Ranjan, "Optimal radial distribution system reconfiguration using fuzzy adoption of evolutionary programming", Electric Power System Research, 25(2003)775-780