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035 _a.b11892936
099 9 _aAIT RSPR no. ET-02-10
100 0 _aThanathip Sum-im
245 1 0 _aAnt colony search algorithm for unit commitment
260 _aBangkok :
_bAsian Institute of Technology,
_c2002
300 _a45 leaves
490 1 _aResearch studies project report ;
_vno. ET-02-10
500 _aA research study submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development
520 _aIn this research study, Ant Colony Search Algorithm (ACSA) is proposed to solve thermal unit commitment problem. ACSA is a new co-operative agent approach, which is derived from the theoretical biology on the topic of ant trail formation and foraging methods. In the ACSA, a set of co-operating agents called "ants" co-operates to find good solution to unit commitment problem of thermal units. The merits of ACSA are parallel search and optimization capabilities. In this study, the problem is decomposed in two subproblems. The unit commitment sub-problem is solved by the ant colony search algorithm method and the economic dispatch sub-problem is solved by the lambda-iteration method. The total production cost of the proposed method is cheaper than those of Dynamic Programming (DP), Lagrange Relaxation (LR) and Genetic Algorithm (GA) on the ten generating units system.
650 0 _aUnits
650 0 _aAlgorithms
700 0 _aWeerakorn Ongsakul,
_eChairperson
700 0 _aSurapong Chiraratananon,
_eExamination Committee
700 1 _aShrestha, Ram M.,
_eExamination Committee
810 2 _aAsian Institute of Technology.
_tResearch studies project report ;
_vno. ET-02-10
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B07266
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