| 000 | 01664nam a2200265 a 4500 | ||
|---|---|---|---|
| 001 | vtls000054784 | ||
| 003 | KUKTEM | ||
| 005 | 20251114204501.0 | ||
| 008 | 110718t2009 my a f m 000 0 eng d | ||
| 020 | _aTHE0006720(Local) | ||
| 039 | 9 |
_a201905271200 _bamirul _y201107181023 _zFida |
|
| 040 | _aUMP | ||
| 090 | _aTK1191 .F37 2009 rs Bc. | ||
| 100 | 0 | _aNur Farhanah Wakiman | |
| 245 | 1 | 0 |
_aAI solution to economic dispatch / _cNur Farhanah Wakiman |
| 246 | 3 |
_aAI solution to economic dispatch _h[computer file] |
|
| 260 |
_aKuantan, Pahang : _bUMP, _c2009 |
||
| 300 |
_axvi, 71 p. : _bill. (some col.) ; _c30 cm. + 1 computer disc |
||
| 502 | _aProject paper (Bachelor of Electrical Engineering (Hons.) (Power System) -- Universiti Malaysia Pahang - 2009 | ||
| 504 | _aBibliography : p. 44 | ||
| 520 | 3 | _aIn this study, proposes an AI optimization method for solving the economic dispatch (ED) problem in power systems. Many nonlinear characteristics of the generator, such as ramp rate limits, prohibited operating zone, and non-smooth cost functions are considered using the proposed method in practical generator operation. The feasibility of the proposed method is demonstrated for two different systems, and it is compared with the Conventional method in terms of the solution quality and computation efficiency. The experimental results show that the proposed PSO method was indeed capable of obtaining higher quality solutions efficiently in ED problems. | |
| 650 | 0 | _aPower-plants | |
| 650 | 0 |
_aElectric power distribution _xEconomic aspects |
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| 999 |
_aVIRTUA40 _c2806 _d2812 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9992 | ||