Emergent synchronisation properties of a refrigerator demand side management system

Applied Energy

Volumn 101, Issue , 2013, Pages 709-717

  Kremers, Enrique ^a   González de Durana, José Marí a ^b   Barambones, Oscar ^b  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Complex systems; Electrical grid frequency control; Multi agent simulation; Refrigerator load modelling; Spontaneous synchronisation phenomena; Under frequency load shedding

Indexed keywords

FREQUENCY RESPONSE; LARGE SCALE SYSTEMS; SYNCHRONIZATION;

ELECTRICAL GRIDS; LOAD MODELLING; MULTI AGENT SIMULATION; SPONTANEOUS SYNCHRONISATION PHENOMENA; UNDERFREQUENCY LOAD-SHEDDING;

REFRIGERATORS;

COOLING; DEMAND-SIDE MANAGEMENT; ELECTRICITY SUPPLY; ENERGY USE; EQUIPMENT; NUMERICAL MODEL; SYNCHRONY;

EID: 84869862328     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.07.021     Document Type: Article

References (18)

1. Palensky P., Dietrich D. Demand side management: demand response, intelligent energy systems, and smart loads. Ind Inform, IEEE Trans 2011, 7(3):381-388.
2. Albadi MH, El-Saadany EF. Demand response in electricity markets: an overview. In: Power engineering society general meeting, 2007. IEEE; 2007. p. 1-5.
3. Moura P.S., de Almeida A.T. The role of demand-side management in the grid integration of wind power. Appl Energy 2010, 87(8):2581-2588.
4. Short J.A., Infield D.G., Freris L.L. Stabilization of grid frequency through dynamic demand control. Power Sys, IEEE Trans 2007, 22(3):1284-1293.
5. Wright A., Firth S. The nature of domestic electricity-loads and effects of time averaging on statistics and on-site generation calculations. Appl Energy 2007, 84(4):389-403.
6. Widen J., Wackelgard E. A high-resolution stochastic model of domestic activity patterns and electricity demand. Appl Energy 2009, 87(6):1880-1892.
7. Kremers E. Modelling and simulation of electrical energy systems through a complex systems approach using agent-based models. PhD-Thesis. Universidad del País Vasco - Euskal Herriko Unibertsitatea (Dept. Ingeniería de Sistemas y Automática); 2012.
8. Cerrajería I. 2012. URL http://www.icerrajeria.com/.
9. Cerri G, Palmieri A, Monticelli E, Pezzoli D. Identification of domestic refrigerator models including cool storage. In: International congress of refrigeration 2003. Washington (D.C.), USA; 2003.
10. Laguerre O., Derens E., Palagos B. Study of domestic refrigerator temperature and analysis of factors affecting temperature: a french survey. Int J Refrig 2002, 25(5):653-659.
11. Viejo Garcia P, Gonzalez de Durana J, Barambones O, Kremers E. Quantitative system dynamics: comparison of modeling techniques for the simulation of electro-mechanical systems. In: International system dynamics conference. Washington; 2011.
12. Borshchev A., Kolesov Y., Senichenkov Y. Java engine for UML based hybrid state machines 2002, vol. 2. IEEE, p. 1888-1894.
13. Wooldridge M.J. An introduction to multiagent systems 2009, Wiley, Chichester, West Sussex, United Kingdom.
14. Anderson P.M., Mirheydar M. A low-order system frequency response model. Power Sys, IEEE Trans 1990, 5(3):720-729.
15. Lee Hau Aik D. A general-order system frequency response model incorporating load shedding: analytic modeling and applications. Power Sys, IEEE Trans 2006, 21(2):709-717.
16. Kottick D., Blau M., Edelstein D. Battery energy storage for frequency regulation in an island power system. Energy Convers, IEEE Trans 1993, 8(3):455-459.
17. Kuramoto Y. Chemical oscillations, waves, and turbulence 2003, Dover Pubns.
18. Nikitin A., Néda Z., Vicsek T. Collective dynamics of two-mode stochastic oscillators. Phys Rev Lett 2001, 87(2):024101.