TY  - SER
AU  - Itti Mangkornthong
AU  - Weerakorn Ongsakul,
AU  - Nadarajah,Mithulananthan
AU  - Wang,Yaw Juen
ED  - Royal Thai Goverment Fellowship, 
TI  - Adaptive for economic dispatch considering non-smooth cost functions
T2  - Thesis
PY  - 2008///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Electric power distribution
KW  - Economic aspects
N1  - Submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy; A thesis submitted in partial fulfillment of the requirements for the  degree of Master of Science in Energy; Thesis (M.Eng.) - Asian Institute of Technology, 2008
N2  - 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
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B02182
ER  -