1 AIT Asian Institute of Technology

Adaptive for economic dispatch considering non-smooth cost functions

AuthorItti Mangkornthong
Call NumberAIT Thesis no.ET-08-13
Subject(s)Electric power distribution--Economic aspects

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Energy
PublisherAsian Institute of Technology
Series StatementThesis ; no. ET-08-13
AbstractThis 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
Year2008
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. ET-08-13
TypeThesis
SchoolSchool of Environment, Resources, and Development (SERD)
DepartmentDepartment of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC))
Academic Program/FoSEnergy Technology (ET)
Chairperson(s)Weerakorn Ongsakul
Examination Committee(s)Nadarajah Mithulananthan;Wang, Yaw Juen
Scholarship Donor(s)Royal Thai Goverment Fellowship
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2008


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