Emergent synchronisation properties of a refrigerator demand side management system

In order to analyse the possibilities of improving grid stability on island systems by local demand response mechanisms, a multi-agent simulation model is presented. To support the primary reserve, an under-frequency load shedding (UFLS) using refrigerator loads is modelled. The model represents the system at multiple scales, by recreating each refrigerator individually, and coupling the whole population of refrigerators to a model which simulates the frequency response of the energy system, allowing for cross-scale interactions. Using a simple UFLS strategy, emergent phenomena appear in the simulation. Synchronisation effects among the individual loads were discovered, which can have strong, undesirable impacts on the system such as oscillations of loads and frequency. The phase transition from a stable to an oscillating system is discussed.

[1]  A. Wright,et al.  The nature of domestic electricity-loads and effects of time averaging on statistics and on-site generation calculations , 2007 .

[2]  P. M. Anderson,et al.  A low-order system frequency response model , 1990 .

[3]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[4]  Z. Neda,et al.  Collective Dynamics of Two-Mode Stochastic Oscillators , 2001 .

[5]  Denis Lee Hau Aik.  A general-order system frequency response model incorporating load shedding: analytic modeling and applications , 2006, IEEE Transactions on Power Systems.

[6]  Andrei Borshchev,et al.  Java engine for UML based hybrid state machines , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[7]  Pedro Moura,et al.  The role of demand-side management in the grid integration of wind power , 2010 .

[8]  O. Barambones,et al.  Quantitative systems dynamics : Comparison of modeling techniques for the simulation of electro-mechanical systems , 2011 .

[9]  D. Kottick,et al.  Battery energy storage for frequency regulation in an island power system , 1993 .

[10]  Yoshiki Kuramoto,et al.  Chemical Oscillations, Waves, and Turbulence , 1984, Springer Series in Synergetics.

[11]  B. Palagos,et al.  Study of domestic refrigerator temperature and analysis of factors affecting temperature: a French survey , 2002 .

[12]  D.G. Infield,et al.  Stabilization of Grid Frequency Through Dynamic Demand Control , 2007, IEEE Transactions on Power Systems.

[13]  Mohammed H. Albadi,et al.  Demand Response in Electricity Markets: An Overview , 2007, 2007 IEEE Power Engineering Society General Meeting.

[14]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[15]  Enrique Kremers,et al.  Modelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models , 2013 .

[16]  J. Widén,et al.  A high-resolution stochastic model of domestic activity patterns and electricity demand , 2010 .