Using heat demand prediction to optimise Virtual Power Plant production capacity


Bakker, Vincent and Molderink, Albert and Hurink, Johann L. and Smit, Gerard J.M. (2008) Using heat demand prediction to optimise Virtual Power Plant production capacity. In: ProRISC 2008, 19th Annual Workshop on Circuits, Systems and Signal Processing, 27-28 November 2008, Veldhoven, the Netherlands (pp. pp. 11-15).

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Abstract:In the coming decade a strong trend towards distributed electricity generation (microgeneration) is expected. Micro-generators are small appliances that generate electricity (and heat) at the kilowatt level, which allows them to be installed in households. By combining a group of micro-generators, a Virtual Power Plant can be formed. The electricity market/network requires a VPP control system to be fast, scalable and reliable. It should be able to adjust the production quickly, handle in the order of millions of micro-generators and it should ensure the required production is really produced by the fleet of microgenerators. When using micro Combined Heat and Power microgenerators, the electricity production is determined by heat demand. In this paper we propose a VPP control system design using learning systems to maximise the economical benefits of the microCHP appliances. Furthermore, ways to test our design are
Item Type:Conference or Workshop Item
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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