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Smart Energo Model control system
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DOI：10.1016/j.ifacol.2016.12.037.png)
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This contribution deals wills modelling of a smart grid with a significant ratio of renewable energy sources. The physical model of an integrated smart grid enables modelling of different control strategies. The grid was designed to test various methods of control, such as an energy efficiency or a utilization of demand response, along with a weather forecast. And it is designed in a way that different variations of the energy transfer occurs. Mainly, it consists of a main grid which is 24 V. Then, there is another part that simulates other backup storage. For example, this storage can be realized as batteries of an electric car. Each part has a different purpose in the grid and it is important to utilize it at the right time. A standard usage is to use only the grid battery and not the unnecessarily relocation of energy. This, however, we can afford only if storage has a sufficient reserve for a specific resource, or if we do not mind that a part of the energy generated by the plant is underutilized. However, we try to avoid it and the grid uses various control principles to prevent this situation. During these transfer may occur many states and one of them is described in this paper. A grid control should maintain approximately the same level of energy in batteries in the real-time. (C) 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Keyword:
smart grid
renewable energy sources
consumption
dynamic rates
small energy consumers
physical model
light intensity
solar dependence
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