WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 13, 2018
Optimal Placement of Power Factor Correction Capacitors using a Discrete Teaching Learning Based Optimization
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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.
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Keywords: Power factor correction, Teaching Learning based Optimization, method, optimization, capacitor placement, energy saving, energy management, smart grids
Pages: 326-334
WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 13, 2018, Art. #32