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Fatma Zohra Dekhandji



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Fatma Zohra Dekhandji


WSEAS Transactions on Power Systems


Print ISSN: 1790-5060
E-ISSN: 2224-350X

Volume 13, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Optimal Placement of Power Factor Correction Capacitors using a Discrete Teaching Learning Based Optimization

AUTHORS: Fatma Zohra Dekhandji

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ABSTRACT: Energy saving is one of the major concerns of the utility engineers. One problem leading to excessive power consumption is the system bad power factor. A low power factor implies a rise in the current drawn from the transformers which leads to an excessive electricity bill and serious problems on the transformer loading. To deal with this problem, many techniques have been proposed. These include the reactive power compensation and the placement of corrective capacitor banks. This paper contrasts two techniques to place capacitors in a distribution system. The first uses the Teaching Learning Based Optimization (TLBO) to solve the optimal capacitor placement problem in electric distribution systems. The second uses ETAP software and its integrated tool of optimally placing power factor correction capacitors. To demonstrate the efficacy and compare these methods, they were applied to conventional bus systems and simulation results of the two methods are illustrated.

KEYWORDS: - Power factor correction, Teaching Learning based Optimization, method, optimization, capacitor placement, energy saving, energy management, smart grids.

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WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 13, 2018, Art. #32, pp. 326-334


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