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Management and Control of Domestic Smart Grid Technology

Albert MolderinkDepartment of Computer Science, Mathematics and Electrical Engineering, University of Twente, Enschede, NetherlandsVincent BakkerDepartment of Computer Science, Mathematics and Electrical Engineering, University of Twente, Enschede, NetherlandsM.G.C. BosmanDepartment of Computer Science, Mathematics and Electrical Engineering, University of Twente, Enschede, NetherlandsJohann L. HurinkDepartment of Computer Science, Mathematics and Electrical Engineering, University of Twente, Enschede, NetherlandsGerard J.M. SmitDepartment of Computer Science, Mathematics and Electrical Engineering, University of Twente, Enschede, Netherlands
2010en
ABI

Аннотация

Emerging new technologies like distributed generation, distributed storage, and demand-side load management will change the way we consume and produce energy. These techniques enable the possibility to reduce the greenhouse effect and improve grid stability by optimizing energy streams. By smartly applying future energy production, consumption, and storage techniques, a more energy-efficient electricity supply chain can be achieved. In this paper a three-step control methodology is proposed to manage the cooperation between these technologies, focused on domestic energy streams. In this approach, (global) objectives like peak shaving or forming a virtual power plant can be achieved without harming the comfort of residents. As shown in this work, using good predictions, in advance planning and real-time control of domestic appliances, a better matching of demand and supply can be achieved.

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Цитирований: 3Использованных источников: 0