Nallagownden, P. and Thin, L.T. and Guan, N.C. and Mahmud, C.M.H. (2006) Application of genetic algorithm for the reduction of reactive power losses in radial distribution system. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Power losses in distribution system have become the most concerned issue in power losses analysis in any power system. In the effort of reducing power losses within distribution system, reactive power compensation has become increasingly important as it affects the operational, economical and quality of service for electric power systems. This paper presents the application of genetic algorithm approach for reactive power loss reduction in radial distribution system. IEEE 34-bus Standard Test System is used together with the ERACS and MATLAB as powerful tools for the analysis and simulation work. ERACS is used to perform load flow analysis while MATLAB is used for the identification of capacitor current via GAtool, and algorithm for the calculation of loss savings, its particular capacitor size and location. The result is then compared with the heuristic search strategies to evaluate the performance of genetic algorithm. © 2006 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 4; Conference of 1st International Power and Energy Conference, PECon 2006 ; Conference Date: 28 November 2006 Through 29 November 2006; Conference Code:72409 |
Uncontrolled Keywords: | capacitor size; Distribution systems; Electric powers; Heuristic search; International (CO); Load flow analysis; power loss reduction; power losses; power systems; Radial distribution system (RDS); Reactive power compensation (RPC); Reactive power losses; Reducing power; Standard testing, Algorithms; Boolean functions; Capacitance; Capacitors; Dielectric devices; Diesel engines; Electric currents; Electric equipment; Electric generators; Electric losses; Electric network analysis; Electric power distribution; Electric power factor; Electric power systems; Electric power transmission networks; Energy storage; Genetic algorithms; Heuristic algorithms; Heuristic programming; MATLAB; Power transmission; Quality of service; Reactive power; Standards, Power quality |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:15 |
Last Modified: | 09 Nov 2023 15:15 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/81 |