Microgrids are currently seen as the future of power generation and distribution systems. This paper illustrates the optimization of the operation stage of the main components of a microgrid supplying the final demands for electricity, heating and cooling of a residential district. The optimization was performed with reference to four seasonal standard days and optimizing the operating costs or the primary energy use. The electricity production from a photovoltaic system and a combined heat and power (CHP) satisfies the local electricity demand. The heating demand is fulfilled with a gas-fired boiler, a CHP, a solar thermal collector and a reversible heat pump that is employed also for the cooling demand together with an absorbtion chiller. Moreover, a storage system for each demand is also included. The optimization model is formulated through a mixed-integer linear programming approach and implemented in MATLAB. The results show a reduction of costs ranging between about two and four times and a reduction of primary energy use between about two and five times with respect to the traditional scenario (electricity and gas from the grid).

Performance Optimization of a Residential Microgrid Balancing Economic and Energy Issues

Di Somma M.;
2023-01-01

Abstract

Microgrids are currently seen as the future of power generation and distribution systems. This paper illustrates the optimization of the operation stage of the main components of a microgrid supplying the final demands for electricity, heating and cooling of a residential district. The optimization was performed with reference to four seasonal standard days and optimizing the operating costs or the primary energy use. The electricity production from a photovoltaic system and a combined heat and power (CHP) satisfies the local electricity demand. The heating demand is fulfilled with a gas-fired boiler, a CHP, a solar thermal collector and a reversible heat pump that is employed also for the cooling demand together with an absorbtion chiller. Moreover, a storage system for each demand is also included. The optimization model is formulated through a mixed-integer linear programming approach and implemented in MATLAB. The results show a reduction of costs ranging between about two and four times and a reduction of primary energy use between about two and five times with respect to the traditional scenario (electricity and gas from the grid).
2023
Emissions
Energy hub
Microgrid
MILP
Optimization
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12079/77047
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