WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 14, 2017
Simulated Annealing Optimization for Generation Scheduling with Cubic Fuel Cost Function
Authors: , ,
Abstract: In the last years, the researchers put mathematical equations to find the fuel cost from thermal plants which the variable is the power output of each plant. For this paper, we propose a cubic fuel cost function to find the minimum fuel cost in power systems. The fuel cost is described with 4 parameters. In this work, we use simulated annealing method to find the optimal solution. In this study, in order to evaluate the performance of the SA algorithm, it is tested on 4 different unit systems (3-unit, 3-unit with losses, 5-unit and 26-unit systems). The results obtained from the proposed method are compared other methods reported previously in the literature. The results show that the SA algorithm is better than the others at solving such a problem.
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Keywords: economic load dispatch, estimation, cubic function, price penalty factor, simulated annealing
Pages: 64-69
WSEAS Transactions on Information Science and Applications, ISSN / E-ISSN: 1790-0832 / 2224-3402, Volume 14, 2017, Art. #8