Implementation of New Stochastic Algorithm of Network Reconfiguration in Distribution Systems for Losses and Costs Reduction
Öz
In many countries the power systems are going to move toward creating a competitive structure for selling and buying electrical energy. This paper presents a new method based on Modified Firefly Optimization (MFO) algorithm to Distribution Feeder Reconfiguration (DFR) problems at the distribution networks considering Wind Turbines (WTs). The objectives consist of minimization of costs and losses of distributed system. The effectiveness of the proposed algorithm is demonstrated through IEEE 32 bus standard test systems. Also, regarding the uncertainties of the new complicated power systems such as the active and reactive loads in addition to the wind speed variations effectively, in this paper for the first time, the DFR problem is investigated in a stochastic environment by the use of probabilistic load flow technique based on Point Estimate Method (PEM). The feasibility of the MFO algorithm and the proposed DFR is demonstrated and compared with the solutions obtained by other approaches and evolutionary methods.
Anahtar Kelimeler
Kaynakça
- T. Ackerman, G. Anderson, L. Soder, “Distributed generation: a definition,” Elsevier Sci. 195–204, 2003.
- D. Zhu, R.P. Broadwater, K. Tam, R. Seguin, H. Asgeirsson, “ Impact of DG placement on reliability and efficiency with time-varying loads,” IEEE Transactions on Power Systems 21 (1) , 419–427, 2006.
- “Distributed Energy Resources Guide,” The California Energy Commission, 2003. [Online]. Available: http://www.energy.ca.gov/ .
- “Wind power systems,” in Encyclopedia of Physical Science and Technology, 3rd ed. New York: Academic, 200 Y.T. Hsiao, C.Y. Chien , “ Multiobjective optimal feeder reconfiguration ,” IEE Proceedings Generation, Transmission and Distribution, 148(4):333–336, 2001.
- H. Merlin, “Search for a minimal-loss operating spanning tree configuration in an urban power distribution system,” in: Proceedings of the Fifth Power System Computation Conference, Cambridge, UK, pp. 1–18, 2008.
- S. Civanlar, J.J. Grainger, H. Yin, S.S.H. Lee, “Distribution feeder reconfiguration for loss reduction,” IEEE Trans Power Deliver; 3(4):1217–23, 2010.
- K. Aoki, H. Kawabara, T. Satoh, M. Kanezashi, “An efficient algorithm for load balancing of transformers and feeders,” IEEE Trans Power Deliver; 3(4):1865–72, 200
- G. Celli, E. Ghiani, S. Mocci, F. and Pilo, F., “A multiobjective evolutionary algorithm for the sizing and siting of distributed generation,” IEEE Trans. Power Syst., vol. 20, no. 2, pp. 750–757, May 2009.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Ahmad Rohanı
Bu kişi benim
Yaser Nematı
Bu kişi benim
Navid Javıdtash
Bu kişi benim
Ali Heydarjedagan
Bu kişi benim
Hossein Sedaghatı
Bu kişi benim
Yayımlanma Tarihi
25 Mart 2015
Gönderilme Tarihi
7 Haziran 2014
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2014 Cilt: 14 Sayı: 2