From Hierarchical to Open Access Electric Power Systems

Ilić, Marija

doi:10.1109/jproc.2007.894711

Cited by 124 publications

(66 citation statements)

References 62 publications

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“…We conclude that the demand is incompatible with the graph and respective generator assignment. Recall that in the R = 0 case the SAT/UNSAT threshold is described by (4). Similar upper bound can be derived for cases R ≥ 1.…”

Section: Average Bethe Entropy Via Population Dynamicsmentioning

confidence: 61%

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Message passing for optimization and control of a power grid: Model of a distribution system with redundancy

Zdeborová

Decelle²,

Chertkov³

2009

Phys. Rev. E

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We use a power grid model with M generators and N consumption units to optimize the grid and its control. Each consumer demand is drawn from a predefined finite-size-support distribution, thus simulating the instantaneous load fluctuations. Each generator has a maximum power capability. A generator is not overloaded if the sum of the loads of consumers connected to a generator does not exceed its maximum production. In the standard grid each consumer is connected only to its designated generator, while we consider a more general organization of the grid allowing each consumer to select one generator depending on the load from a pre-defined consumer-dependent and sufficiently small set of generators which can all serve the load. The model grid is interconnected in a graph with loops, drawn from an ensemble of random bipartite graphs, while each allowed configuration of loaded links represent a set of graph covering trees. Losses, the reactive character of the grid and the transmission-level connections between generators (and many other details relevant to realistic power grid) are ignored in this proof-of-principles study. We focus on the asymptotic limit, N → ∞ and N/M → D = O(1) > 1, and we show that the interconnects allow significant expansion of the parameter domains for which the probability of a generator overload is asymptotically zero. Our construction explores the formal relation between the problem of grid optimization and the modern theory of sparse graphical models. We also design heuristic algorithms that achieve the asymptotically optimal selection of loaded links. We conclude discussing the ability of this approach to include other effects, such as a more realistic modeling of the power grid and related optimization and control algorithms.

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Section: Average Bethe Entropy Via Population Dynamicsmentioning

confidence: 61%

“…(See, e.g. related review articles [3,4,5]. ) We adopt this "discovery though simplification" approach and focus in this paper on improving the functioning and control of the electric grid on the power distribution level.…”

Section: Introductionmentioning

confidence: 99%

Message passing for optimization and control of a power grid: Model of a distribution system with redundancy

Zdeborová

Decelle²,

Chertkov³

2009

Phys. Rev. E

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“…Here, we consider power flow being continuous in space, due to the continuation property of local angles over lines, see (6). By means of losses stemming from transfer conductances, K ik as coupling by power transfer between generators i and k becomes a distance-dependent continuous function that decreases with spatial distance.…”

Section: A Properties Of Interaction Between Spatially Distributed Gmentioning

confidence: 99%

Quasi-stationarity of electric power grid dynamics based on a spatially embedded Kuramoto model

Mangesius

Hirche²,

Obradović

2012

2012 American Control Conference (ACC)

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Abstract-A novel and simple network model that is capable to reproduce quasi-stationary behavior and propagation phenomena in electric power grid dynamics is introduced. A new Kuramoto approximation to distributed generator dynamics is obtained from combining a continuous spatial interaction function with a discrete lattice model representing generator positions and network structure over a continuous spatial domain. At hand of model properties and a numerical study quasi-stationarity of electric power grid dynamics results, being related to non-vanishing fluctuation and oscillations in stationary state.

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“…One particularly emphasized "smart-grid" property is that of resilience where healthy regions of the grid continue to operate while disrupted and perturbed regions bring themselves back to normal operation. This is a cyberphysical grand challenge [48][49][50]. "Future power systems" require a fundamental evolution in the physical structure of today's power grid with a corresponding change in the grid's many layers of control and optimization algorithms [31].…”

Section: Introduction: Resilience In Power System Coordination and Controlmentioning

confidence: 99%

“…Furthermore, it is important to consider how multiple microgrids will interact with each other as "peer" regions [56]. Similarly, recent work has advocated resilient control systems [79,80] built upon open, distributed, and interoperable architectures [48,49,89] of the power grid as an integrated cyber-physical system. Multi-agent systems have often been proposed as a key-enabling technology for such a resilient control [14,58,77,92].…”

Section: Introduction: Resilience In Power System Coordination and Controlmentioning

confidence: 99%

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

Farid

2015

Intell Ind Syst

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Recently, the academic and industrial literature has coalesced around an enhanced vision of the electric power grid that is intelligent, responsive, dynamic, adaptive and flexible. One particularly emphasized "smart-grid" property is that of resilience where healthy regions of the grid continue to operate while disrupted and perturbed regions bring themselves back to normal operation. Multi-agent systems have recently been proposed as a key enabling technology for such a resilient control scheme. While the power system literature has often addressed multi-agent systems, many of these works did not have resilience as the central design intention. This paper now has a two-fold purpose. First, it seeks to identify a set of multi-agent system design principles for resilient coordination and control of future power systems. To that end, it draws upon an axiomatic design for large flexible engineering systems model which was recently used in the development of resilience measures. From this quantitative model, a set of design principles are easily distilled. Second, the paper assesses the adherence of existing multi-agent system implementations with respect to these design principles. The paper concludes that while many multi-agent systems have been developed for power grids, they have been primarily intended as the decentralization of a particular decision-making/control algorithm. Thus many of the works make only limited contributions to power grid resilience.B Amro M. Farid

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From Hierarchical to Open Access Electric Power Systems

Abstract: To operate large power grids under stress, model-guided decisions based on economic and policy feed-forward and feedback signals as well as technical signals may be needed.

Cited by 124 publications

References 62 publications

Message passing for optimization and control of a power grid: Model of a distribution system with redundancy

Message passing for optimization and control of a power grid: Model of a distribution system with redundancy

Quasi-stationarity of electric power grid dynamics based on a spatially embedded Kuramoto model

Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

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