Open AccessEfficient method for estimation of smooth and nonsmooth fuel cost curves for thermal power plants
Author(s) -
Sayah Samir,
Hamouda Abdellatif
Publication year - 2018
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2498
Subject(s) - differential evolution , generator (circuit theory) , convergence (economics) , mathematical optimization , economic dispatch , function (biology) , differential (mechanical device) , computer science , thermal , power (physics) , electric power system , mathematics , engineering , physics , quantum mechanics , evolutionary biology , aerospace engineering , meteorology , economics , biology , economic growth
Summary For accurate economic dispatch solution, it is necessary to periodically estimate the parameters of fuel cost function. This paper proposes an improved differential evolution algorithm for computing the optimal parameters of fuel cost functions for thermal power plants. A new mutation strategy is suggested to enhance convergence rate and improve solution quality of original differential evolution. The proposed approach is examined on different test systems with several generator cost curve models involving smooth and nonsmooth/nonconvex functions. The results using the proposed approach are compared to those available in recent literature. The results show the efficiency of the proposed estimation approach for obtaining accurate fuel cost parameters without any restriction on the mathematical model of the generator cost curve.