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Models for the modern power grid
Authors:Pedro HJ Nardelli  Nicolas Rubido  Chengwei Wang  Murilo S Baptista  Carlos Pomalaza-Raez  Paulo Cardieri  Matti Latva-aho
Institution:1. Department of Communications Engineering, University of Oulu, Oulu, Finland
2. Institute for Complex Systems and Mathematical Biology, SUPA, University of Aberdeen, Aberdeen, UK
3. Instituto de Física, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay
4. Department of Engineering, Indiana University – Purdue University Fort Wayne, Fort Wayne, USA
5. School of Electrical and Computer Engineering, University of Campinas, Campinas, Brazil
Abstract:This article reviews different kinds of models for the electric power grid that can be used to understand the modern power system, the smart grid. From the physical network to abstract energy markets, we identify in the literature different aspects that co-determine the spatio-temporal multilayer dynamics of power system. We start our review by showing how the generation, transmission and distribution characteristics of the traditional power grids are already subject to complex behaviour appearing as a result of the the interplay between dynamics of the nodes and topology, namely synchronisation and cascade effects. When dealing with smart grids, the system complexity increases even more: on top of the physical network of power lines and controllable sources of electricity, the modernisation brings information networks, renewable intermittent generation, market liberalisation, prosumers, among other aspects. In this case, we forecast a dynamical co-evolution of the smart grid and other kind of networked systems that cannot be understood isolated. This review compiles recent results that model electric power grids as complex systems, going beyond pure technological aspects. From this perspective, we then indicate possible ways to incorporate the diverse co-evolving systems into the smart grid model using, for example, network theory and multi-agent simulation.
Keywords:
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