Models for the modern power grid

Nardelli, Pedro H. J.; Rubido, Nicolás; Wang, Chengwei; Baptista, Murilo S.; Pomalaza‐Ráez, Carlos; Cardieri, Paulo; Latva-aho, Matti

doi:10.1140/epjst/e2014-02219-6

Cited by 101 publications

(74 citation statements)

References 98 publications

(127 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Power-grids, as one of the largest man-made networks, are a typical example to study collective behavior of networked elements, and its research has become increasingly important to its stability and network design for physicists and engineers [34,35,304,[350][351][352][353][354][355][356].…”

Section: Power-gridsmentioning

confidence: 99%

The Kuramoto model in complex networks

et al. 2016

View full text Add to dashboard Cite

Synchronization of an ensemble of oscillators is an emergent phenomenon present in several complex systems, ranging from social and physical to biological and technological systems. The most successful approach to describe how coherent behavior emerges in these complex systems is given by the paradigmatic Kuramoto model. This model has been traditionally studied in complete graphs. However, besides being intrinsically dynamical, complex systems present very heterogeneous structure, which can be represented as complex networks. This report is dedicated to review main contributions in the field of synchronization in networks of Kuramoto oscillators. In particular, we provide an overview of the impact of network patterns on the local and global dynamics of coupled phase oscillators. We cover many relevant topics, which encompass a description of the most used analytical approaches and the analysis of several numerical results. Furthermore, we discuss recent developments on variations of the Kuramoto model in networks, including the presence of noise and inertia. The rich potential for applications is discussed for special fields in engineering, neuroscience, physics and Earth science. Finally, we conclude by discussing problems that remain open after the last decade of intensive research on the Kuramoto model and point out some promising directions for future research.

show abstract

Section: Power-gridsmentioning

confidence: 99%

The Kuramoto model in complex networks

et al. 2016

View full text Add to dashboard Cite

show abstract

“…For each one of the equally-spaced time intervals, ∆T , the average power measurement is calculated, and associated to that time slice. 1 This has some advantages as, for example, simplicity of the reconstruction of the average power consumption, and also disadvantages as privacy threat for the customer [20], [21].…”

Section: B Measuring Techniques 1) Time-based Samplingmentioning

confidence: 99%

“…One important key aspect when modernizing the power grids is the integration of communication networks including the final consumer [1]. For example, in the so-called smart grids, cloud computing applications [2] used for demand-side management and peer-to-peer energy trading would require efficient data processing and communication system.…”

Section: Introductionmentioning

confidence: 99%

Joint sampling-communication strategies for smart-meters to aggregator link as secondary users

Tomé

Nardelli

Alves

2016

2016 IEEE International Energy Conference (ENERGYCON)

Self Cite

View full text Add to dashboard Cite

Abstract-This paper assesses the communication between smart-meters and aggregators as secondary users that transmit their data over the primary uplink channel. We assume: directional antennas are employed in the meter-aggregator link, secondary users transmit with limited power, meters' transmissions are randomized to avoid packet collisions, and an outage constraint for the secondary links' to guarantee their robustness. Therefore, the interference caused by the secondary users in the primary can be neglected. Conversely, the secondary users still experience interference from mobile users of the primary network, whose positions and traffic activity are unknown. Our goal is to study sampling-communication strategies for transmitting the average power demand of a household so the signal can be reconstructed by the aggregator with low deviation. Our results indicate that an event-based scheme based on energy packets can outperform the usual time-based, periodic, sampling.

show abstract

“…These papers can be roughly grouped into five categories, namely, surveys [1][2][3][4] prediction and volatility of renewable infeed [5][6][7] derivation of requirements for a resilient power grid infrastructure [8][9][10][11][12][13] relationships between grid stability and complex network topology [14][15][16][17] and the analysis of special issues in dynamic stability [20][21][22]. Because of the various overlaps, we still chose to assemble these works in alphabetical order in this volume.…”

mentioning

confidence: 99%

“…The review [3] focusses on stability issues arising in the emergent non-traditional power grids with additional smart grid components that necessitate broader interdisciplinary models incorporating large amounts of renewable energy production, information networks, and producer and consumer behaviour, using cutting-edge techniques such as complex network analysis and multiagent simulation.…”

mentioning

confidence: 99%

Interdisciplinary challenges in the study of power grid resilience and stability and their relation to extreme weather events

Heitzig

Fujiwara

Aihara

et al. 2014

Eur. Phys. J. Spec. Top.

View full text Add to dashboard Cite

Abstract. This topical issue collects contributions to the interdisciplinary study of power grid stability in face of increasing volatility of energy production and consumption due to increasing renewable energy infeed and changing climatic conditions. The individual papers focus on different aspects of this field and bring together modern achievements from various disciplines, in particular complex systems science, nonlinear data analysis, control theory, electrical engineering, and climatology. Main topics considered here are prediction and volatility of renewable infeed, modelling and theoretical analysis of power grid topology, dynamics and stability, relationships between stability and complex network topology, and improvements via topological changes or control. Impacts for the design of smart power grids are discussed in detail.Many countries face the problem that reducing greenhouse gas emissions while phasing out nuclear energy requires a transformation of the energy system that includes large amounts of renewable energy production. The latter, however, is highly influenced by extreme weather events, which are likely to get more frequent and more severe due to climate change. Extreme events influence not only the availability of energy, but also and of more fundamental importance, the stability of the whole power grid, which is not yet understood sufficiently. Grid operation and control will profit a

show abstract

Models for the modern power grid

Cited by 101 publications

References 98 publications

The Kuramoto model in complex networks

The Kuramoto model in complex networks

Joint sampling-communication strategies for smart-meters to aggregator link as secondary users

Interdisciplinary challenges in the study of power grid resilience and stability and their relation to extreme weather events

Contact Info

Product

Resources

About