Staff Members - Benha University
M.M. SALAMA, E.M. SAIED, S.E. SOLIMAN, H. M. M. GAD-ALLA, " Utilization of Artificial Neural Networks for Optimal Economic Operation of Thermal Power Systems", Engineering Research Journal, Shoubra Faculty of Engineering, Benha University, No. 1, June 2004, pp. 50 - 65.
Engineering Research Journal, Shoubra Faculty of Engineering, Benha University • 2004
Publication Information
Authors
M.M. SALAMA, E.M. SAIED, S.E. SOLIMAN, H. M. M. GAD-ALLA
Keywords
Not Available
Journal
Engineering Research Journal, Shoubra Faculty of Engineering, Benha University
Publisher
Not Available
Volume
No. 1
Issue
Not Available
Pages
pp. 50 - 65.
publication.type
Local
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
ABSTRACT
Economic operation of a thermal power system means minimization of the generation cost of the thermal units over a specified period of time. The operation constraints may be taken into consideration. Lagrangian method and the suggested- modified Lagrangian method are presented to solve the optimal economic load dispatch problem. The mathematical models are built and applied to a power system which consists of five thermal units .The artificial neural networks with the Hopfield modeling are also designed and applied to obtain the economic load dispatch. In this study, it has been suggested that ,the power limits constraints of the generation units could be involved in the objective function of the mathematical models .The acceptable agreement between the obtained results verifies the feasibility of the suggested methods.
Economic operation of a thermal power system means minimization of the generation cost of the thermal units over a specified period of time. The operation constraints may be taken into consideration. Lagrangian method and the suggested- modified Lagrangian method are presented to solve the optimal economic load dispatch problem. The mathematical models are built and applied to a power system which consists of five thermal units .The artificial neural networks with the Hopfield modeling are also designed and applied to obtain the economic load dispatch. In this study, it has been suggested that ,the power limits constraints of the generation units could be involved in the objective function of the mathematical models .The acceptable agreement between the obtained results verifies the feasibility of the suggested methods.