Olli Kilkki
Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, Finland
Kai Zenger
Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, Finland
Ladda ner artikel
http://dx.doi.org/10.3384/ecp171421081Ingår i: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Linköping Electronic Conference Proceedings 142:159, s. 1081-1087
Publicerad: 2018-12-19
ISBN: 978-91-7685-399-3
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
The electrical grid is under reform; the increasing volatile renewable energy production and distributed local generation compel the development of a future where the consumption of electricity can also participate in maintaining the production-consumption balance of the grid. There is a vast amount of recent research activity related to exploiting residential and industrial consumption elasticity. This paper presents a selected overview of various facets of modeling, optimizing and simulating the demand response potential and effects, especially with emergent soft computing methods. In addition, some illustrating examples are presented, where various relevant approaches from recent state-of-the-art research, including soft computing methods, are reviewed.
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