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Stable operation of complex flow and transportation networks requires balanced supply and demand. the operation of electric power grids—due to their increasing fraction of renewable energy sources —a pressing challenge is to fit the fluctuations in decentralized supply to the distributed and temporally demands. To achieve this goal, common smart grid concepts suggest to collect consumer data, centrally evaluate them given current supply and send price information back to customers them to decide about usage. Besides restrictions regarding cyber security, privacy protection large required investments, it remains unclear how such central smart grid options guarantee stability. Here we propose a Decentral Smart Grid Control, where the price is directly linked to local grid frequency at each customer. The grid frequency provides all necessary information the current power balance such that it is sufficient to match supply and demand without the for a centralized IT infrastructure. Weanalyze the performance and the dynamical stability of the grid with such a control system. Our results suggest that the proposed Decentral Smart Grid is feasible independent of effective measurement delays, if frequencies are averaged over sufficiently time intervals.
Schäfer et al. (Fri,) studied this question.
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