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Coordinated Optimisation Scheduling of Park Integrated Energy System Considering Heat Pump Coupled With Thermal/Cool Storage Devices

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ABSTRACT To effectively enhance the energy utilisation rate of the park integrated energy system (PIES), and to strengthen the stability and reliability of PIES power supply, geothermal heat pumps and thermal/cool storage devices are introduced. An optimisation scheduling method for PIES based on maximum power point tracking (MPPT) and mixed integer linear programming is proposed. Firstly, taking into account the fluctuating and unpredictable nature of wind and solar power generation, the tip speed ratio (TSR) and incremental conductance (IncCond) methods are applied for MPPT of wind and solar power output. Secondly, geothermal heat pumps and thermal/cool storage devices are integrated into PIES to construct a typical daily multi‐energy flow coupled optimisation scheduling model. Lastly, the overall operational expenses and ecological impacts of PIES are comprehensively considered for an economic and environmental comparison analysis. Case study results verify that the introduction of geothermal heat pumps and thermal/cool storage devices enhances the energy efficiency and bolsters the overall economic and ecological effectiveness of PIES.
Institution of Engineering and Technology (IET)
Title: Coordinated Optimisation Scheduling of Park Integrated Energy System Considering Heat Pump Coupled With Thermal/Cool Storage Devices
Description:
ABSTRACT To effectively enhance the energy utilisation rate of the park integrated energy system (PIES), and to strengthen the stability and reliability of PIES power supply, geothermal heat pumps and thermal/cool storage devices are introduced.
An optimisation scheduling method for PIES based on maximum power point tracking (MPPT) and mixed integer linear programming is proposed.
Firstly, taking into account the fluctuating and unpredictable nature of wind and solar power generation, the tip speed ratio (TSR) and incremental conductance (IncCond) methods are applied for MPPT of wind and solar power output.
Secondly, geothermal heat pumps and thermal/cool storage devices are integrated into PIES to construct a typical daily multi‐energy flow coupled optimisation scheduling model.
Lastly, the overall operational expenses and ecological impacts of PIES are comprehensively considered for an economic and environmental comparison analysis.
Case study results verify that the introduction of geothermal heat pumps and thermal/cool storage devices enhances the energy efficiency and bolsters the overall economic and ecological effectiveness of PIES.

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