Abstract
Over the course of the 20th century, the electrical power
systems of industrialized economies have become one of the
most complex systems created by mankind. A number of
ongoing trends will drastically change the way this critical infrastructure is operated. Demand for electricity keeps
growing while the controllability of generation capacity is
decreasing due to introduction of renewable energy sources.
Further, there is an increase of distributed generators (DG),
i.e. the generation capacity embedded in the (medium and low voltage) distribution networks. Intelligent distributed coordination will be essential to ensure the electricity infrastructure runs efficiently in the future. The PowerMatcher technology, a multi-agent coordination system, has been developed to provide this kind of coordination. The heart of the system is an electronic market on which local control agents negotiate using strategies based on short-term micro-economics. This concept has been demonstrated in a number of field tests of increasing scale. Currently, the focus is moving from proof of concept field tests proving the technology towards demonstrations developing commercial applications paving the way for large-scale application
systems of industrialized economies have become one of the
most complex systems created by mankind. A number of
ongoing trends will drastically change the way this critical infrastructure is operated. Demand for electricity keeps
growing while the controllability of generation capacity is
decreasing due to introduction of renewable energy sources.
Further, there is an increase of distributed generators (DG),
i.e. the generation capacity embedded in the (medium and low voltage) distribution networks. Intelligent distributed coordination will be essential to ensure the electricity infrastructure runs efficiently in the future. The PowerMatcher technology, a multi-agent coordination system, has been developed to provide this kind of coordination. The heart of the system is an electronic market on which local control agents negotiate using strategies based on short-term micro-economics. This concept has been demonstrated in a number of field tests of increasing scale. Currently, the focus is moving from proof of concept field tests proving the technology towards demonstrations developing commercial applications paving the way for large-scale application
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Industry track |
| Pages | 1681-1688 |
| Number of pages | 8 |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada - Sheraton Centre Toronto Hotel, Toronto, Canada Duration: 10 May 2010 → 14 May 2010 http://www.cse.yorku.ca/AAMAS2010/ |
Conference
| Conference | 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), May 10-14, 2010, Toronto, Canada |
|---|---|
| Abbreviated title | AAMAS 2010 |
| Country/Territory | Canada |
| City | Toronto |
| Period | 10/05/10 → 14/05/10 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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