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Adaptive for economic dispatch considering non-smooth cost functions | |
Author | Itti Mangkornthong |
Call Number | AIT Thesis no.ET-08-13 |
Subject(s) | Electric power distribution--Economic aspects |
Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Energy |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. ET-08-13 |
Abstract | 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 |
Year | 2008 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ET-08-13 |
Type | Thesis |
School | School of Environment, Resources, and Development (SERD) |
Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
Academic Program/FoS | Energy Technology (ET) |
Chairperson(s) | Weerakorn Ongsakul |
Examination Committee(s) | Nadarajah Mithulananthan;Wang, Yaw Juen |
Scholarship Donor(s) | Royal Thai Goverment Fellowship |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2008 |