Coordination of distributed energy resource agents

Applied Artificial Intelligence

Volumn 24, Issue 5, 2010, Pages 351-380

  Li, Jiaming ^a   Poulton, Geoffrey ^a   James, Geoffrey ^a  

^a CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMICS; ELECTRIC POWER DISTRIBUTION; INTELLIGENT AGENTS;

AGENT BASED; DECENTRALISED; DEMAND PEAKS; DISTRIBUTED ENERGY RESOURCES; ELECTRICITY PRICES; ENERGY REQUIREMENTS; LARGE-SCALE DEPLOYMENT; MANAGEMENT AND CONTROLS; RESOURCE AGENTS; WHOLESALE ELECTRICITY;

ENERGY RESOURCES;

EID: 77952904229     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839514.2010.481483     Document Type: Article

References (26)

1. Australian Greenhouse Office. 2007. Australian Greenhouse Office. http://www.accc.gov.au/ content/index.phtml/itemId/527041/fromItemId/815972/ quickLinkId/815426/whichType/org (accessed May 4, 2010).
2. Carlsson, P., and A. Anderson. 2007. A flexible model for tree-structured multi-commodity markets. Electronic Commerce Research 7(1):69-88.
3. Clearwater, S. H. 1996. Market-Based Control-A Paradigm for Distributed Resource Allocation. Singapore: World Scientific.
4. Clement, B. J., and A. C. Barrett. 2003. Continual coordination through shared activities. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, 57-64. Melbourne, Australia: ACM.
5. Clement, B. J., and E. H. Durfee. 2000. Performance of coordinating concurrent hierarchical planning agents using summary information. In Proceedings of the 7th International Workshop on Intelligent Agents VII: Agent Theories, Architectures, and Languages, 202-216. Boston: Springer.
6. Dimeas, L., and N. D. Hatziargyriou. 2005. Operation of a multi agent system for microgrid control. IEEE Transactions on Power Systems 20(3):1447-1455.
7. Energex. 2010. http://www.energex.com.au/environment/energy-efficiency. html (accessed May 4, 2010).
8. Estrin, D., R. Govindan, J. Heidemann, and S. Kumar. 1999. Next century challenges: Scalable coordination in sensor networks. In Proceedings of the Fifth Annual ACM/IEEE International Conference on Mobile Computing and Networks, 263-270. New York: ACM Press.
9. Guo, Y., J. Li, and G. James. 2005. Evolutionary optimisation of distributed electrical loads and generators. In Proceedings of the 18th Australian Joint Conference on Artificial Intelligence, 1086-1091. Sydney, Australia: Springer.
10. Hopper, N., C. Goldman, R. Bharvirkar, and D. Engel. 2007. The summer of 2006: A milestone in the ongoing maturation of demand response. The Electricity Journal 20(5):62-75.
11. Hudson, G., and C. P. Underwood. 1999. A simple building modelling procedure for MatLab/Simulink. In Proceedings of the International Building Performance and Simulation Conference, vol.2, 777-783. Kyoto, Japan: Taylor & Francis.
12. Jones, T. E., and G. C. James. 2005. The management and control of distributed energy resources. In Proceedings of the CIGRE Symposium on Power Systems with Dispersed Generation. Athens.
13. Kamphuis, I. G., J. K. Kok, C. J. Warmer, and M. P. F. Hommelberg. 2006. Massive coordination of residential embedded electricity generation and demand response using the PowerMatcher approach. In Proceedings of the 4th International Conference on Energy Efficiency in Domestic Appliances and Lighting, 1249-1259. London: Springer.
14. Kok, J. K., C. J. Warmer, and I. G. Kamphuis. 2005. PowerMatcher: Multiagent control in the electricity infrastructure. In Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems, 75-82. Utrecht, The Netherlands: ACM.
15. Li, J., G. Poulton, and G. James. 2007. Agent-based distributed energy management. In Proceedings of the 20th Australian Joint Conference on Artificial Intelligence, 569-578. Gold Coast, Queensland, Australia: Springer.
16. Li, R., J. Li, G. Poulton, and G. James. 2008. Agent-based optimisation systems for electrical load management. In Proceedings of the 1st International Workshop on Optimisation in Multi-Agent Systems. Estoril, Portugal: ACM.
17. Luh, P. B., M. Ni, H. Chen, and L. S. Thakur. 2003. Price-based approach for activity coordination in a supply network. IEEE Transactions on Robotics and Automation 19(2):335-346.
18. Müller, H., A. Rudolf, and G. Aumayr. 2001. Studies of distributed energy supply systems using an innovative energy management system. Power Industry Computer Applications, 87-90.
19. National Electricity Market Management Company, Australia. 2007. http://www.nemmco.com.au/ (accessed May 4, 2010).
20. Nord Pool. 2008. http://www.nordpoolspot.com/trading/ The-Elspot-market/159/ (accessed May 4, 2010).
21. Oyarzabal, J., J. Jimeno, J. Ruela, A. Engler, and C. Hardt. 2006. Agent based micro grid management system. International Journal of Distributed Energy Resources 2(3):195-209.
22. Stone, P., and M. Veloso. 2000. Multiagent systems: A survey from a machine learning perspective. Autonomous Robots 8(3):345-383.
23. United States Department of Energy. 2000. Report of the U.S. department of energy's power outage study team. http://certs.lbl.gov/certs-rtinakey-outage. html (accessed May 4, 2010).
24. Ye, F., A. Chen, S. Lu, and L. Zhang. 2001. A scalable solution to minimum cost forwarding in large scale sensor networks. In Proceedings of the 10th International Conference on Computer Communications and Networks, 304-309. Dallas, TXC: IEEE XPlore.
25. Ygge, F. 1998. Market-oriented programming and its application to power load management. Ph.D. Thesis, Lund University, Sweden.
26. Ygge, F. 2000. Resource-oriented multi-commodity market algorithm. Journal of Autonomous Agents and Multi-Agent System 3:53-72.