Investigation the Success of Semidefinite Programming for the Estimating of Fuel Cost Curves in Thermal Power Plants

Authors : Uğur GÜVENÇ, Hüseyin BAKIR, Serhat DUMAN

Pages : 247-254

Doi:10.2339/politeknik.645827

View : 32 | Download : 16

Publication Date : 2021-03-01

Article Type : Research Paper

Abstract :Accurate estimation of fuel cost curve parameters in thermal power plants insert ignore into journalissuearticles values(TPP); has great importance because these parameters directly influence the economic dispatch calculations. In this paper, a semidefinite programming insert ignore into journalissuearticles values(SDP); approach was proposed for the estimation of fuel cost functions` parameters in TPP. The parameter estimation problem was designed as a minimization problem, where the objective function was accepted as the total absolute error insert ignore into journalissuearticles values(TAE); in the study. Also, linear, quadratic, and cubic fuel cost functions were used to estimate the fuel cost parameters. Coal, oil and gas were preferred as the fuel types for the study. The results achieved from the SDP method were compared with that of particle swarm optimization insert ignore into journalissuearticles values(PSO);, artificial bee colony insert ignore into journalissuearticles values(ABC);, crow search algorithm insert ignore into journalissuearticles values(CSA); and least error square insert ignore into journalissuearticles values(LES); methods, respectively. TAE parameter was taken into consideration when comparing the performance of the methods. In the results, the SDP method gave better results with respect to TAE. Clearly, the present paper showed that SDP has a high potential to solve parameter estimation problems.
Keywords : Fuel cost function, Parameter estimation problem, Semidefinite programming

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