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- W2965683414 abstract "A BAT algorithm to solve economic load dispatch problem of the Nigerian integrated power system is presented in this paper. Data from Transmission Company of Nigeria (TCN) national control centre, Osogbo was collected from January 2010 to December 2015 and was used to develop cost function for the twenty-one (21) thermal stations contributing power to the national grid. The cost functions were optimized in MATLAB® R2012a environment using Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Bat Algorithm (BA). The result obtained shows that using the optimization tools GA, PSO, SA and BA the cost of fuel for generation are N13,239,100.0, N13,193,163.2, N13,139,672.0 and N13,105,495.2 respectively, which shows that BA gave the best result of minimizing fuel cost. Keywords : economic, load dispatch, bat algorithm, simulated annealing, optimization" @default.
- W2965683414 created "2019-08-13" @default.
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- W2965683414 date "2019-12-12" @default.
- W2965683414 modified "2023-09-26" @default.
- W2965683414 title "Economic load dispatch of Nigeria integrated high voltage generation and transmission grid using BAT algorithm" @default.
- W2965683414 cites W2552014163 @default.
- W2965683414 doi "https://doi.org/10.4314/njt.v38i3.20" @default.
- W2965683414 hasPublicationYear "2019" @default.
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