Optimal energy exchange of an industrial cogeneration in a day-ahead electricity market

This paper addresses an optimal strategy for the daily energy exchange of a 22-MW combined-cycle cogeneration plant of an industrial factory operating in a liberalized electricity market. The optimization problem is formulated as a Mixed-Integer Linear Programming Problem (MILP) that maximizes the p...

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Published in:Electric power systems research Vol. 78; no. 10; pp. 1764 - 1772
Main Authors: Yusta, J.M., De Oliveira-De Jesus, P.M., Khodr, H.M.
Format: Journal Article
Language:English
Published: Amsterdam Elsevier B.V 01.10.2008
Elsevier
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ISSN:0378-7796, 1873-2046
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Abstract This paper addresses an optimal strategy for the daily energy exchange of a 22-MW combined-cycle cogeneration plant of an industrial factory operating in a liberalized electricity market. The optimization problem is formulated as a Mixed-Integer Linear Programming Problem (MILP) that maximizes the profit from energy exchange of the cogeneration, and is subject to the technical constraints and the industrial demand profile. The integer variables are associated with export or import of electricity whereas the real variables relate to the power output of gas and steam turbines, and to the electricity purchased from or sold to the market. The proposal is applied to a real cogeneration plant in Spain where the detailed cost function of the process is obtained. The problem is solved using a large-scale commercial package and the results are discussed and compared with different predefined scheduling strategies.
AbstractList This paper addresses an optimal strategy for the daily energy exchange of a 22-MW combined-cycle cogeneration plant of an industrial factory operating in a liberalized electricity market. The optimization problem is formulated as a Mixed-Integer Linear Programming Problem (MILP) that maximizes the profit from energy exchange of the cogeneration, and is subject to the technical constraints and the industrial demand profile. The integer variables are associated with export or import of electricity whereas the real variables relate to the power output of gas and steam turbines, and to the electricity purchased from or sold to the market. The proposal is applied to a real cogeneration plant in Spain where the detailed cost function of the process is obtained. The problem is solved using a large-scale commercial package and the results are discussed and compared with different predefined scheduling strategies.
Author Khodr, H.M.
Yusta, J.M.
De Oliveira-De Jesus, P.M.
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Cites_doi 10.1109/TPWRS.2003.811197
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Issue 10
Keywords Scheduling
Cogeneration
Liberalized energy markets
Power generation
Optimization
Steam turbine
Deregulation
Power system economics
Optimization method
Mixed integer programming
Combined cycle power plant
Energy conversion
Cost function
Power markets
Planning
Electric power production
Gas turbine
Energy transfer
Comparative study
Language English
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Snippet This paper addresses an optimal strategy for the daily energy exchange of a 22-MW combined-cycle cogeneration plant of an industrial factory operating in a...
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StartPage 1764
SubjectTerms Applied sciences
Cogeneration
Combined power plants and total energy systems
Electric power plants
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Liberalized energy markets
Miscellaneous
Non classical power plants
Operation. Load control. Reliability
Optimization
Power generation
Power networks and lines
Scheduling
Title Optimal energy exchange of an industrial cogeneration in a day-ahead electricity market
URI https://dx.doi.org/10.1016/j.epsr.2008.03.012
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