Dynamic capacity control and balancing in the medium voltage grid (doctoral consortium)

Frits De Nijs, Matthijs T.J. Spaan, Mathijs M. de Weerdt

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

1 Citation (Scopus)


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 languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
EditorsRafael H. Bordini, Edith Elkind
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages2
ISBN (Electronic)9781450334136
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Autonomous Agents and Multiagent Systems 2015 - Istanbul, Turkey
Duration: 4 May 20158 May 2015
Conference number: 14th
https://dl.acm.org/doi/proceedings/10.5555/2772879 (Proceedings)


ConferenceInternational Conference on Autonomous Agents and Multiagent Systems 2015
Abbreviated titleAAMAS 2015
Internet address


  • MMDPs
  • Planning under uncertainty
  • Scalability and heuristics
  • Smart energy networks

Cite this