DocumentCode
2541670
Title
New approach with muller method for profit based unit commitment
Author
Chandram, K. ; Subrahmanyam, N. ; Sydulu, M.
Author_Institution
Electr. Eng. Dept., Nat. Inst. of Technol., Warangal
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
8
Abstract
This paper presents a new approach with Muller method for solving profit based unit commitment (PBUC). In deregulated environment, the generation companies (GENCOs) schedule their generators to maximize their profit rather than satisfying the power demand. While solving the PBUC problem, the information of forecasted price at the given predicted power demand is known. The PBUC problem is solved by the proposed approach in two stages. Initially, committed units table obtains information of the committed units and finally the non linear programming sub problem of economic dispatch is solved by Muller method. The proposed approach has been tested on a power system with 3 and 10 generating units. Simulation results of the proposed approach have been compared with existing methods and also with the traditional unit commitment. It is observed from the simulation results that the proposed algorithm provides maximum profit with less computational time compare to existing methods.
Keywords
power generation dispatch; power generation economics; power generation scheduling; GENCO; Muller method; PBUC problem; deregulated environment; economic dispatch; generation companies; maximum profit algorithm; nonlinear programming subproblem; power demand; power system; price forecasting; profit based unit commitment; Computational modeling; Demand forecasting; Economic forecasting; Environmental economics; Linear programming; Power demand; Power generation; Power generation economics; Power system economics; Power system simulation; Muller method and Deregulation; Profit based unit commitment; committed units table;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596653
Filename
4596653
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