Long-term optimization of cogeneration systems in a competitive market environment

A tool for long-term optimization of cogeneration systems is developed that is based on mixed integer linear-programming and Lagrangian relaxation. We use a general approach without heuristics to solve the optimization problem of the unit commitment problem and load dispatch. The possibility to buy...

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Bibliographic Details
Published in:Applied energy Vol. 81; no. 2; pp. 152 - 169
Main Authors: Thorin, Eva, Brand, Heike, Weber, Christoph
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.06.2005
Elsevier Science
Elsevier
Series:Applied Energy
Subjects:
Applied sciences
Cogeneration
Cogeneration Linear programming Optimization methods Planning Power generation Power generation dispatch Unit commitment
Combined power plants
District heating and refrigerating
Energy
Energy. Thermal use of fuels
Engines and turbines
Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc
Exact sciences and technology
Heating, air conditioning and ventilation
Installations for energy generation and conversion: thermal and electrical energy
Linear programming
Optimization methods
Planning
Power generation
Power generation dispatch
Space heating. Hot water
Unit commitment
Cogeneration
Optimization methods
Unit commitment
Linear programming
Power generation dispatch
Planning
Power generation
Steam turbine
District heating
Power production
Heat production
Markets
Optimization
Boiler
Network
Extraction
Models
Gas turbine
Combined power plant
ISSN:0306-2619, 1872-9118, 1872-9118
Online Access:Get full text
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Description
Summary:A tool for long-term optimization of cogeneration systems is developed that is based on mixed integer linear-programming and Lagrangian relaxation. We use a general approach without heuristics to solve the optimization problem of the unit commitment problem and load dispatch. The possibility to buy and sell electric power at a spot market is considered as well as the possibility to provide secondary reserve. The tool has been tested on a demonstration system based on an existing combined heat-and-power (CHP) system with extraction-condensing steam turbines, gas turbines, boilers for heat production and district-heating networks. The key feature of the model for obtaining solutions within reasonable times is a suitable division of the whole optimization period into overlapping sub-periods. Using Lagrangian relaxation, the tool can be applied to large CHP systems. For the demonstration model, almost optimal solutions were found.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0306-2619
1872-9118
1872-9118
DOI:10.1016/j.apenergy.2004.04.012