<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

CHPP Operation Mode Optimization under Electricity and Gas Market Conditions using a Genetic Algorithm

Latvian Journal of Physics and Technical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The article presents an operation planning optimisation approach using a genetic algorithm for CHPPs in an urban heat supply zone. Changes in market...

CHPP Operation Mode Optimization under Electricity and Gas Market Conditions using a Genetic Algorithm

Online veröffentlicht: 24. Juni 2021

Seitenbereich: 154 - 168

DOI: https://doi.org/10.2478/lpts-2021-0023

Schlüsselwörter
CHPP operation, electricity market, gas market, genetic algorithm, optimization

© 2021 J. Kozadajevs et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

CHPP Operation Mode Optimization under Electricity and Gas Market Conditions using a Genetic Algorithm

Online veröffentlicht: 24. Juni 2021

Seitenbereich: 154 - 168

DOI: https://doi.org/10.2478/lpts-2021-0023

SchlüsselwörterCHPP operation, electricity market, gas market, genetic algorithm, optimization

© 2021 J. Kozadajevs et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
CHPP operation, electricity market, gas market, genetic algorithm, optimization