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| 008 | 090120s2008 th uu|m rtt 0| a1eng d | ||
| 035 | _a.b12045457 | ||
| 099 | 9 | _aAIT Thesis no.ET-08-13 | |
| 100 | 0 | _aItti Mangkornthong | |
| 245 | 1 | 0 | _aAdaptive for economic dispatch considering non-smooth cost functions |
| 260 |
_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2008 |
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| 300 |
_a52 p. : _bill. |
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| 490 | 1 |
_aThesis ; _vno. ET-08-13 |
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| 500 | _aSubmitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy | ||
| 502 | _aThesis (M.Eng.) - Asian Institute of Technology, 2008 | ||
| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Energy | ||
| 520 | _aThis 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 | ||
| 650 | 0 |
_aElectric power distribution _xEconomic aspects |
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| 700 | 0 |
_aWeerakorn Ongsakul, _eChairperson |
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| 700 | 1 |
_aNadarajah, Mithulananthan, _eExamination Committee |
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| 700 | 1 |
_aWang, Yaw Juen, _eExamination committee |
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| 710 | 2 |
_aRoyal Thai Goverment Fellowship, _eScholarship donor |
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| 810 | 2 |
_aAsian Institute of Technology. _tThesis ; _vno. ET-08-13 |
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| 856 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B02182 |
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