Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation
AbstractThis paper presents a demand response (DR) framework that intertwines thermodynamic building models with a genetic algorithm (GA)-based optimization method. The framework optimizes heating/cooling schedules of end-users inside a business park microgrid with local distributed generation from renewable energy sources (DG-RES) based on two separate objectives: net load minimization and electricity cost minimization. DG-RES is treated as a curtailable resource in anticipation of future scenarios where the infeed of DG-RES to the regional distribution network could be limited. We test the DR framework with a case study of a refrigerated warehouse and an office building located in a business park with local PV generation. Results show the technical potential of the DR framework in harnessing the flexibility of the thermal masses from end-user sites in order to: (1) reduce the energy exchange at the point of connection; (2) reduce the cost of electricity for the microgrid end-users; and (3) increase the local utilization of DG-RES in cases where DG-RES exports to the grid are restricted. The results of this work can aid end-users and distribution network operators to reduce energy costs and energy consumption. View Full-Text
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Morales González, R.; Shariat Torbaghan, S.; Gibescu, M.; Cobben, S. Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation. Energies 2016, 9, 547.
Morales González R, Shariat Torbaghan S, Gibescu M, Cobben S. Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation. Energies. 2016; 9(7):547.Chicago/Turabian Style
Morales González, Rosa; Shariat Torbaghan, Shahab; Gibescu, Madeleine; Cobben, Sjef. 2016. "Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation." Energies 9, no. 7: 547.
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