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).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
