The evolution of the topology of high-voltage electricity networks

Buzna, Ľuboš; Issacharoff, Limor; Helbing, Dirk

doi:10.1504/ijcis.2009.022850

Cited by 19 publications

(10 citation statements)

References 14 publications

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“…Although the topology of this network has been already characterized in the literature [18], and some aspects of the topological characterization of the network are obviously coincident, our contribution in this work is mainly focused on the definition of a very simple spatial and temporal model that explains and reproduces significantly well its topological features.…”

Section: Power Grid Datasetmentioning

confidence: 99%

A Simple Spatiotemporal Evolution Model of a Transmission Power Grid

Rosas-Casals

Valverde

Solé

2018

IEEE Systems Journal

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In this paper we present a model for the spatial and temporal evolution of a particularly large human made network: the 400 kV French transmission power grid. This is based on (a) an attachment procedure that diminishes the connection probability between two nodes as the network grows and (b) a coupled cost function characterizing the available budget at every time step. Two differentiated and consecutive processes can be distinguished: a first global space filling process and a secondary local meshing process that increases connectivity at a local level. Results show that even without power system engineering design constraints (i.e., population and energy demand), the evolution of a transmission network can be remarkably explained by means of a simple attachment procedure. Given a distribution of resources and a time span, the model can also be used to generate the probability distribution of cable lengths at every time step, thus facilitating network planning. Implications for network's fragility are suggested as a starting point for new design perspectives in this kind of infrastructures Index Terms-Networks, evolution, transmission power grid.

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Section: Power Grid Datasetmentioning

confidence: 99%

A Simple Spatiotemporal Evolution Model of a Transmission Power Grid

Rosas-Casals

Valverde

Solé

2018

IEEE Systems Journal

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“…This drawback complicates the processes of corroborating assumptions imposed by models or validating the appearance of other intermediate evolutionary processes. With very few exceptions, like in (Buzna, Issacharoff et al 2009), very little is known about the evolution of infrastructural networks. Its study is an essential component of the complex networks research agenda in order to shed light on some fundamental questions.…”

Section: Complex Networkmentioning

confidence: 99%

Knowing power grids and understanding complexity science

Rosas-Casals

Bologna²,

Bompard³

et al. 2015

IJCIS

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Complex networks theory has been well established as a useful framework for studying and analyzing structure, dynamics and evolution of many complex systems. Infrastructural and man-made systems like power grids, gas and water networks and the internet, have been also included in this network framework, albeit sometimes ignoring the huge historical body of knowledge surrounding them. Although there seems to exist clear evidence that both complexity approach in general, and complex networks in particular, can be useful, it is necessary and profitable to put forward some of the limits that this scheme is facing when dealing with not so complex but rather complicated systems like the power grid. In this position paper we offer a critical revision of the usefulness of the complexity and complex networks' approach in this later case, highlighting both its strengths and weaknesses. At the same time we emphasize the disconnection between the so called complex and the more traditional engineering communities as one of the major drawbacks in the advent of a true body of understanding (more than simply knowing) the subtleties of this kind of complex systems.

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“…Evolution of the topology of a high voltage power grid could be seen in [3]; the effects of different topologies in a normal function are explained in [4]; and an idea of the complexity level reached by the power gird is given in [5]. All of these complex network schemes require changes in the control, as seen in [6], which implies more elements in the grid.…”

Section: Introductionmentioning

confidence: 99%

An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events

et al. 2015

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For the development of the future smart grid, the detection of power quality events is a key issue for the power system monitoring. Voltage sags, swells, harmonics (variations) and interruptions, which produce large losses for commercial and industrial consumers, are the main events to be considered due to the sensitivity of equipment to these electrical anomalies. The steady-state events are even more frequently accompanied by transients, the discrimination and localization being far more exigent and requiring advanced signal separating tools to be incorporated in the measurement equipment. This paper shows the event detection performance of the spectral kurtosis as a signal separating tool in the frequency domain. The disturbances under test are hybrid signals resulting from the coupling between amplitude defects and non-desired higher frequencies. Being a fourth-order spectrum, the kurtosis is confirmed as a noise-resistant tool that enhances impulsiveness, therefore characterizing the electrical anomalies. In the beginning of the analysis, the voltage sag is established as a reference; then, the disturbances (oscillatory transients and harmonics) are coupled at the starting and ending instants of the sag, resulting in complex hybrid events. The results show that the spectral kurtosis enhances the detection Energies 2015, 8 9778 of both types of events (steady state and transients), which are outlined in a bump shape in the fourth-order frequency pattern and centered in the main carrier frequency. Indeed, while the oscillatory transients are associated with softer and lower-amplitude peaks, the harmonics correspond to crisper and higher ones. As these mixed electrical faults are very common in the actual power grid, the article postulates the higher-order spectra to be implemented in prospective online measurement instruments.

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The evolution of the topology of high-voltage electricity networks

Cited by 19 publications

References 14 publications

A Simple Spatiotemporal Evolution Model of a Transmission Power Grid

A Simple Spatiotemporal Evolution Model of a Transmission Power Grid

Knowing power grids and understanding complexity science

An Application of Spectral Kurtosis to Separate Hybrid Power Quality Events

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