Development of an Optimization Model for the Operating Modes of Heating Units under Conditions of Changing Energy Consumption Schedules

The features of the mathematical model for optimizing the distribution of heat and electricity at a large CHP with a complex composition are considered. It is shown that when developing optimization models, it becomes necessary to calculate the optimization problem for different planning horizons. T...

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Bibliographic Details
Published in:	2021 14th International Conference Management of large-scale system development (MLSD) pp. 1 - 3
Main Authors:	Andryushin, Alexander V., Neklyudov, Alexey V., Yagupova, Julia Y., Novitsky, Dmitry A., Shklovsky, Yuri V.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27-09-2021
Subjects:	approximation calculation accuracy calculation time characteristic surface Computational modeling Large-scale systems load distribution Mathematical models optimization of modes Planning planning horizon Schedules Task analysis Thermal management thermal power station
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Summary:	The features of the mathematical model for optimizing the distribution of heat and electricity at a large CHP with a complex composition are considered. It is shown that when developing optimization models, it becomes necessary to calculate the optimization problem for different planning horizons. The requirements for the accuracy of the optimization model vary depending on the planning depth. Operational planning requires maximum precision. When planning for the medium term, forecast indicators are used that have a higher error. Therefore, the requirements for the optimization model can be less stringent. A detailed description of the components of the optimization model allows for high accuracy. In addition to accuracy, an important factor is the computational complexity or the time to find the optimal solution. Particular attention is paid to taking into account the amount of subcooling in network heaters when distributing the heat load between them.
DOI:	10.1109/MLSD52249.2021.9600126