03303nam a2200385 4500 20260818115028.0 th eng .b11699668 AIT Thesis no.ET-97-18 Chira Achayuthakan Genetic algorithms application to economic load dispatch Bangkok : Asian Institute of Technology, 1997 89 leaves + 1 online resource Thesis ; no. ET-97-18 A thesis submitted in partial fulfilment of the requirements for the degree of Master of Engineering Thesis (M.Eng.) - Asian Institute of Technology, 1997 Economic load dispatch (ELD) is one of the main functions of modern Energy Management System (EMS) which determine the optimal real power settings of generating units with an objective to minimizing total fuel cost of thermal plants. Several conventional algorithmic methods have been used to solve the ELD problem. However these methods require the objective function in continuous differentiable form and fail to provide global minima. To achieve this the fuel cost are approximated in the differentiable quadratic form. Genetic Algorithms (GAs) do not suffer from this drawback and can handle non continuous or non-differentiable objective functions. Some power plants such as combined cycle and cogeneration have more than one type of turbine operation. The cost characteristics of such plants are generally non smooth and continuously non-differentiable. This thesis applies genetic algorithms to consider actual characteristics of such plants in the ELD solution. Results have been obtained on two systems. One is the eastern region of EGAT system which has a large amount of thermal plants including cogeneration and combined cycle plants. Three loading cases in this region viz light load, day load and peak load have been considered. Another system is IEEE 30 bus system with one of the plants' characteristics modified as combined cycle. Two models of GAs, conventional GA and Micro GA have been utilized. An experimentation to select optimum values of some of the GA parameters have also been conducted. The results reveal that ELD solution with both the models result into considerable reduction in the fuel cost. Electric power systems Mathematical models Electric power systems Load dispatching Srivastava, Suresh Chandra, Chairperson Malik, Arif Saeed, Examination committee Surapong Chiraratananon, Examination Committee Asian Institute of Technology. Thesis ; no. ET-97-18 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B13692 .b11699668 mnait y 240403 0 980409 m a y 0 mnait mnarc 22 40 Barcode : 30050120713333 CREATED : 2014-04-02 RECORD # : i12755631 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120366231 CREATED : 2016-06-14 RECORD # : i13035800 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 49436 49436 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.ET-97-18 30050120713333 2026-08-18 11:50:28 3 2026-08-18 22 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ET-97-18 30050120366231 2026-08-18 11:50:28 2026-08-18 40