CHPP Operation Mode Optimization under Electricity and Gas Market Conditions using a Genetic Algorithm
| Autor: | Dmitrijs Boreiko, Jevgenijs Kozadajevs, Aleksandrs Dolgicers |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Mathematical optimization
business.industry Computer science 020209 energy Physics QC1-999 02 engineering and technology 021001 nanoscience & nanotechnology Gas market Operation mode chpp operation Genetic algorithm 0202 electrical engineering electronic engineering information engineering electricity market genetic algorithm Electricity market Electricity 0210 nano-technology business gas market optimization |
| Zdroj: | Latvian Journal of Physics and Technical Sciences, Vol 58, Iss 3, Pp 154-168 (2021) |
| ISSN: | 2255-8896 |
| Popis: | The article presents an operation planning optimisation approach using a genetic algorithm for CHPPs in an urban heat supply zone. Changes in market environment will result in a significant change in energy system planning and operation. For efficient production planning in the liberalized power markets, it is paramount to determine the optimal strategies over a time horizon. Solution of an optimization task of such complexity requires a well-crafted set of tailored modelling, simulation, optimization, and forecasting tools. A well-designed solution is unthinkable without a great number of production units, such as gas turbines, steam turbines, heat-only boilers, and thermal storages, reflected by the optimization model. |
| Databáze: | OpenAIRE |
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