Abstract
Renewable power sources such as wind and solar are inflexible in their energy production, which requires demand to rapidly follow supply in order to maintain energy balance. Promising controllable demands are air-conditioners and heat pumps which use electric energy to maintain a temperature at a setpoint. Such Thermostatically Controlled Loads (TCLs) have been shown to be able to follow a power curve using reactive control. In this project we investigate the use of planning under uncertainty to pro-actively control an aggregation of TCLs to overcome temporary grid imbalance. We model the planning problem under consideration using the Multi-Agent Markov Decision Process (MMDP) framework. Since we are dealing with hundreds of agents, solving the resulting MMDPs directly is intractable. Instead, we propose to research ways to decompose the problem by decoupling the interactions.
Original language | English |
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Title of host publication | Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems |
Editors | Rafael H. Bordini, Edith Elkind |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1979-1980 |
Number of pages | 2 |
ISBN (Electronic) | 9781450334136 |
Publication status | Published - 2015 |
Externally published | Yes |
Event | International Conference on Autonomous Agents and Multiagent Systems 2015 - Istanbul, Turkey Duration: 4 May 2015 → 8 May 2015 Conference number: 14th http://www.ifaamas.org/AAMAS/aamas2015/ https://dl.acm.org/doi/proceedings/10.5555/2772879 (Proceedings) |
Conference
Conference | International Conference on Autonomous Agents and Multiagent Systems 2015 |
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Abbreviated title | AAMAS 2015 |
Country/Territory | Turkey |
City | Istanbul |
Period | 4/05/15 → 8/05/15 |
Internet address |
Keywords
- MMDPs
- Planning under uncertainty
- Scalability and heuristics
- Smart energy networks