5,841 research outputs found
Taming Instabilities in Power Grid Networks by Decentralized Control
Renewables will soon dominate energy production in our electric power system.
And yet, how to integrate renewable energy into the grid and the market is
still a subject of major debate. Decentral Smart Grid Control (DSGC) was
recently proposed as a robust and decentralized approach to balance supply and
demand and to guarantee a grid operation that is both economically and
dynamically feasible. Here, we analyze the impact of network topology by
assessing the stability of essential network motifs using both linear stability
analysis and basin volume for delay systems. Our results indicate that if
frequency measurements are averaged over sufficiently large time intervals,
DSGC enhances the stability of extended power grid systems. We further
investigate whether DSGC supports centralized and/or decentralized power
production and find it to be applicable to both. However, our results on
cycle-like systems suggest that DSGC favors systems with decentralized
production. Here, lower line capacities and lower averaging times are required
compared to those with centralized production.Comment: 21 pages, 6 figures This is a pre-print of a manuscript submitted to
The European Physical Journal. The final publication is available at Springer
via http://dx.doi.org/10.1140/epjst/e2015-50136-
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The role of smart sensor networks for voltage monitoring in smart grids
The large-scale deployment of the Smart Grid paradigm will support the evolution of conventional electrical power systems toward active, flexible and self-healing web energy networks composed of distributed and cooperative energy resources. In a Smart Grid platform, distributed voltage monitoring is one of the main issues to address. In this field, the application of traditional hierarchical monitoring paradigms has some disadvantages that could hinder their application in Smart Grids where the constant growth of grid complexity and the need for massive pervasion of Distribution Generation Systems (DGS) require more scalable, more flexible control and regulation paradigms. To try to overcome these challenges, this paper proposes the concept of a decentralized non-hierarchal voltage monitoring architecture based on intelligent and cooperative smart entities. These devices employ traditional sensors to acquire local bus variables and mutually coupled oscillators to assess the main variables describing the global grid state
Sequential Synthesis of Distributed Controllers for Cascade Interconnected Systems
We consider the problem of designing distributed controllers to ensure
passivity of a large-scale interconnection of linear subsystems connected in a
cascade topology. The control design process needs to be carried out at the
subsystem-level with no direct knowledge of the dynamics of other subsystems in
the interconnection. We present a distributed approach to solve this problem,
where subsystem-level controllers are locally designed in a sequence starting
at one end of the cascade using only the dynamics of the particular subsystem,
coupling with the immediately preceding subsystem and limited information from
the preceding subsystem in the cascade to ensure passivity of the
interconnected system up to that point. We demonstrate that this design
framework also allows for new subsystems to be compositionally added to the
interconnection without requiring redesign of the pre-existing controllers.Comment: Accepted to appear in the proceedings of the American Control
Conference (ACC) 201
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