| Title: | 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. |
| Authors: | M.M. SALAMA, E.M. SAIED, S.E. SOLIMAN, H. M. M. GAD-ALLA |
| Year: | 2004 |
| Keywords: | Not Available |
| Journal: | Engineering Research Journal, Shoubra Faculty of Engineering, Benha University |
| Volume: | No. 1 |
| Issue: | Not Available |
| Pages: | pp. 50 - 65. |
| Publisher: | Not Available |
| Local/International: | Local |
| Paper Link: | Not Available |
| Full paper | Mohamed Moenes Mohamed Salama _paper D Moenes&Hanae.pdf |
| 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. |
