A Practical Method for Load Balancing in the LV Distribution Networks Case Study: Tabriz Electrical Network
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32795
A Practical Method for Load Balancing in the LV Distribution Networks Case Study: Tabriz Electrical Network

Authors: A. Raminfard, S. M. Shahrtash

Abstract:

In this paper, a new efficient method for load balancing in low voltage distribution systems is presented. The proposed method introduces an improved Leap-frog method for optimization. The proposed objective function includes the difference between three phase currents, as well as two other terms to provide the integer property of the variables; where the latter are the status of the connection of loads to different phases. Afterwards, a new algorithm is supplemented to undertake the integer values for the load connection status. Finally, the method is applied to different parts of Tabriz low voltage network, where the results have shown the good performance of the proposed method.

Keywords: Load balancing, improved leap-frog method, optimization algorithm, low voltage distribution systems.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1059689

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3371

References:


[1] M.W. Siti, A. A. Jimoh and D.V. Nicolaye,"Feeder-s Load Balancing Using an Expert System", Power Electronic & Application, Euro Conf. 2005 (PEAEC 05).
[2] W. Min Lin, H. Chan Chin, "Preventive and Corrective Switching for Feeder Contingencies in Distribution Systems with Fuzzy Set Algorithm", IEEE Transaction on Power Delivery, Vol. 12, No. 4, pp. 1711 - 1716, 1997.
[3] A. B. Knolseisen, J. Coelho, S. F. Mayerle, F. J. S. Pimentel, R. H. Guembarovski, "A Model for the Improvement of Load Balancing in Secondary Networks", IEEE.
[4] Bologna PowerTech Conference, (BPTC 03), Vol. 3, 2003.
[5] D. Das, "A Fuzzy Multi objective Approach for Network Reconfiguration of Distribution Systems", IEEE Transaction on Power Delivery, Vol. 21, No. 1, 2006.
[6] M.W. Siti, A. A. Jimoh, D.V. Nicolae, "Phase Load Balancing in the Secondary Distribution Network Using Fuzzy Logic", (AFRCON 07), pp.1-7, 2007.
[7] J.A. Snyman, Practical Mathematical Optimization. First ed, Springer, 2005.
[8] J.A. Snyman, "The LFOPC Leap Frog Algorithm for Constrained Optimization", Computer & Mathematical Application (CMA 2000), vol. 40, pp. 1085-1096, 2000.
[9] M.W. Siti, A. A. Jimoh and D. V. Nicolaye, "Reconfiguration and Load Balancing in the LV and MV Distribution Networks for Optimal Performance", IEEE Transaction on Power Delivery, Vol.22, no.4, Oct 2007. TABLE VII NETWORK LOADS AFTER MOLFOP ALGORITHM APPLYIED In Iph3 β (%)Im (A) Iph2 (A) Iph1 (A) Network number 1 118.2 119.5 119.8 0.081 1.24 2 141.8 139.4 135 0.156 4.42