DocumentCode :
1693107
Title :
Unit commitment in deregulated power system using Lagrangian firefly algorithm
Author :
Rampriya, B. ; Mahadevan, K. ; Kannan, S.
Author_Institution :
Kamaraj Coll. of Eng. & Technol., Virudhunagar, India
fYear :
2010
Firstpage :
389
Lastpage :
393
Abstract :
Profit Unit commitment in deregulated power system has a different objective than that of traditional unit commitment PBUC has been performed to emphasize the importance of the profit. The distinct feature of PBUC is that all market information is reflected in the market price. This paper presents a solution for profit based unit commitment by the use of Lagrangian firefly algorithm. The profit based unit commitment (PBUC) solution is developed to determine the unit ON/OFF schedule, power, spinning and non-spinning reserve generations ofGENCOs taking part in the competition. The resultant schedule evidently maximizes the profit and the proposed algorithm is tested for a small unit test system with 3 unit 4 hour data and the simulations are carried out to show the performance of proposed methodology using MATLAB. The proposed algorithm can be extended to ´n´ number of generating units.
Keywords :
power generation dispatch; power generation scheduling; power markets; GENCO; Lagrangian firefly algorithm; MATLAB; PBUC feature; deregulated power system; market information; market price; unit commitment; unit test system; Biological system modeling; Fires; Nickel; Ant colony optimization(ACO); Dynamic Programming (DP); Generation Companies (GENCOs); Genetic Algorithm (GA); Independent System Operator(ISO); Lagrangian firefly algorithm(LFA); Profit based unit commitment (PBUC);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4244-7769-2
Type :
conf
DOI :
10.1109/ICCCCT.2010.5670583
Filename :
5670583
Link To Document :
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