Abstract
A Virtual Power Plant aggregates several Distributed Energy Resources in order to expose them as a single, controllable entity. This enables smaller Distributed Energy Resources to take part in Demand Response programs which traditionally only targeted larger consumers. To date, models for Virtual Power Plants have considered Distributed Energy Resources as simple, atomic entities. However, often Distributed Energy Resources constitute complex and heterogeneous entities with a mix of multiple, controllable loads, generators and electrical storage units which must be coordinated locally. This paper proposes an agent-based method for integration of complex, heterogeneous Distributed Energy Resources into Virtual Power Plants. The approach models Distributed Energy Resources and Virtual Power Plants as agents with multi-objective, multi-issue reasoning. This enables modeling of VPPs constituting complex and heterogeneous Distributed Energy Resources with multiple, local objectives and decision points. The properties of the approach are illustrated using different Virtual Power Plant scenarios, which include Distributed Energy Resources of various types and complexities.
Original language | English |
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Title of host publication | Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection : Proceedings of the 5th International Conference, PAAMS 2017, Porto, Portugal, June 21-23, 2017 |
Editors | Yves Demazeau, Paul Davidsson, Javier Bajo, Zita Vale |
Number of pages | 13 |
Publisher | Springer |
Publication date | 3. Jun 2017 |
Pages | 43-55 |
ISBN (Print) | 978-3-319-59929-8 |
ISBN (Electronic) | 978-3-319-59930-4 |
DOIs | |
Publication status | Published - 3. Jun 2017 |
Event | 15th International Conference on Practical Applications of Agents and Multi-Agent Systems - Porto, Portugal Duration: 21. Jun 2017 → 23. Jun 2017 Conference number: 15 |
Conference
Conference | 15th International Conference on Practical Applications of Agents and Multi-Agent Systems |
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Number | 15 |
Country/Territory | Portugal |
City | Porto |
Period | 21/06/2017 → 23/06/2017 |
Series | Lecture Notes in Computer Science |
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Volume | 10349 |
ISSN | 0302-9743 |
Keywords
- Demand response
- Distributed energy resources
- Load balancing
- Load management
- Multi-agent systems
- Virtual power plant