02595nas a2200397 a 4500 20260817161524.0 090120s2008 th uu|m rtt 0| a1eng d .b12045457 AIT Thesis no.ET-08-13 Itti Mangkornthong Adaptive for economic dispatch considering non-smooth cost functions Pathum Thani, Thailand : Asian Institute of Technology, 2008 52 p. : ill. Thesis ; no. ET-08-13 Submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy Thesis (M.Eng.) - Asian Institute of Technology, 2008 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Energy This thesis proposes Adaptive Particle Swarm Optimization (APSO) for Economic Dispatch (ED) with non-smooth cost functions considering valve-point effects. The practical ED problem has non-smooth cost functions subject to equality and inequality constraints which cannot be solved by conventional mathematical approaches. The APSO includes a self-adaptive weight scale to improve the convergence rate. The APSO is tested on 3 different systems ranging from 3 to 40 generators and compared to Evolutionary Programming (EP), Genetic Algorithm (GA), Simulated Annealing (SA), Tabu Search (TS), and Standard Particle Swarm Optimization (PSO). Test results indicate that the APSO generator fuel costs are less than the others, leading to generator fuel cost savings Electric power distribution Economic aspects Weerakorn Ongsakul, Chairperson Nadarajah, Mithulananthan, Examination Committee Wang, Yaw Juen, Examination committee Royal Thai Goverment Fellowship, Scholarship donor Asian Institute of Technology. Thesis ; no. ET-08-13 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B02182 .b12045457 mnait u 240401 0 090120 m a u 0 mnait mnarc 22 40 Barcode : 30050120603377 CREATED : 2014-04-02 RECORD # : i12756155 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120368906 CREATED : 2016-08-06 RECORD # : i13022180 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 1603 1603 0 0 0 0 MAIN MAIN mnait 2026-08-17 50.00 0 AIT Thesis no.ET-08-13 30050120603377 2026-08-17 16:15:24 3 2026-08-17 22 0 0 0 0 MAIN MAIN mnarc 2026-08-17 0 AIT Thesis no.ET-08-13 30050120368906 2026-08-17 16:15:24 2026-08-17 40