Optimal DG Placement for Power Loss Reduction and Improvement Voltage Profile Using Smart Methods

International Journal of Smart Electrical Engineering

مقاله 1، دوره 01، شماره 03، آذر 2012، صفحه 141-147   

نویسندگان

S.A Hashemi Zadeh¹؛ O Zeidabadi Nejad²؛ S hasani³؛ A.A Gharaveisi⁴؛ GH Shahgholian⁵

¹Department of Electrical Engineering, Islamic Azad University, Rafsanjan, Iran,

²Department of Electrical Engineering, Islamic Azad University, Najaf Abad, Iran,

³Department of Electrical Engineering, Islamic Azad University, Sirjan Science and Research Branch,

⁴Assistant of Control Engineering, Department of electrical engineering, Shahid Bahonar University, Kerman, Iran,

⁵Associate of Electrical Engineering, Department of electrical engineering, Islamic Azad University, Najaf Abad, Iran,

چکیده

Distributed Generations (DGs) are utilized to supply the active and reactive power in the transmission and distribution systems. These types of power sources have many benefits such as power quality enhancement, voltage deviation reduction, power loss reduction, load shedding reduction, reliability improvement, etc. In order to reach the above benefits, the optimal placement and sizing of DG is significant. In this regard, this paper gets use of the Bacteria Foraging Algorithm (BFA) and Binary Genetic Algorithm (BGA) to investigate the DG placement with the purpose of power loss and voltage deviation reduction. The proposed method is applied on the 33-bus and 69-bus IEEE test systems and the optimal place and size of DGs from the power losses and voltage deviation minimization are assessed. Also, the performance of the above two algorithms are compared with each other.

کلیدواژه‌ها

Bacteria Foraging Algorithm (BFA) and Binary Genetic Algorithm (BGA)؛ Distributed Generation (DG)؛ Voltage Deviation؛ distribution systems

مراجع

[1]

Salvaderi, L.An ,“international perspective on the future of power generation and transmission worldwide: the Italian case”, IEEE Transaction on Energy Conversion, Mar 2006.

[2]

G. Pepermans, J.Driesen, D.Haeseldonckx, R. Belmans and W.D' haeseleer, “Distrbuted generation: definition, benefits and issues”, Energy Policy, In Press, Corrected Proof, Available online 20 November, 2003.

[3]

Khanabadi, M.; Doostizadeh, M. Esmaeilian, A. Mohseninezhad, M., “Transmission Congestion Management through Optimal Distributed Generation's Sizing and”,

International Conference on Environment and Electrical Engineering (EEEIC), 2011.

[4]

T. N. Shukla, S.P. Singh, K. B. Naik, “ Allocation of optimal distributed generation using GA for minimum system losses in radial distribution networks”, International Journal of Engineering, Science and Technology Vol. 2, No.3, pp. 94-106,2010.

[5]

R. K. Singh and S. K. Goswami, “Optimum Allocation of Distributed Generations Based on Nodal Pricing for Profit, Loss Reduction and Voltage Improvement Including Voltage Rice Issue”, International Journal of Electrical Power and Energy Systems, Vol. 32, No. 6, pp. 637-644,2010.

[6]

Deependra Singh, Devender Singh, and K. S. Verma, “GA based Optimal Sizing & Placement of Distributed Generation for Loss Minimization”, International Journal of Intelligent Systems and Technologieys, 2007.

[7]

J.H. Teng, T.S. Luor and Y.H. Liu,“Strategic distributed generator placements for service reliability improvements”, IEEE Power Engineering Society Summer Meeting, Vol.2, pp.719-724, July 2002.

[8]

Hung D.Q., Mithulananthan N. and Bansal R.C., “Analytical Expressions for DG Allocation in Primary Distribution Networks”, IEEE Transactions on Energy Conversion, Vol.25, No.3, pp.814-820,2010.

[9]

Singh D., Singh D., Verma K.S., “Multiobjective optimization for DG planning with load models,” IEEE Transactions on Power Systems, Vol.24, No.1, pp.427-436, 2009.

[10]

Singh R.K. and Goswami S.K., “Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue,” Electrical Power and Energy Systems, Vol.32, pp.637–644, 2010.

[11]

Dasan S.G.B. and Devi R.P.K., “Optimal siting and sizing of hybrid distributed generation using fuzzy-EP,” International Journal of Distributed Energy Resources, Vol.6, No.2, pp.163-188, 2010.

[12]

Wichit Krueasuk, Weerakorn Ongsakul,“Optimal Placement of Distributed Generation Using Particle Swarm Optimization”, Asian Institute Of Technology- Energy Field Of Study 2006.

[13]

K.F.Man, K.S.Tang and S.Kwong,“Genetic Algorithm concepts and application”, IEEE Trans.On Industrial Electronics , Vol.43, No.5, pp.519-534, Oct 1996.