Optimal day-ahead scheduling for distributed cleaning heating system with minimal carbon emissions

Abstract

To coordinate renewable energy consumption and distributed clean heating supply, this paper introduces heat pumps and electric boiler-heat storage devices, constituting an integrated electrical and thermal energy system with wind power, thermal power, and combined heat and power. The power flow method is used to construct an overall dynamic power flow model containing transfer, dynamic conversion, and storage processes. A case to minimize carbon emissions is developed by considering each component constraint equation’s overall system constraint equations. The day-ahead scheduling results can provide power curves, storage water temperature, SOC, and thermal resistance of heat exchangers. Meanwhile, as the distributed heat load rate grows 10%, the wind abandonment rate decreases by 5.5% and CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions decrease by 1.5%. In addition, the mass flow rate ratio in the electric boiler coupled heat storage tank can minimize the wind abandonment rate and CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emission within a specific range. Finally, the results provide a significant basis for the carbon reduction of the integrated energy system.