PowerMatcher: multiagent control in the electricity infrastructure

By J. Kok, C. Warmer, I. Kamphuis. Adaptive Agents and Multi-Agent Systems, 2005

424 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects (2016, positive): “PowerMatcher 1 [73] is a good example of using transactive control for supply and demand matching in electricity networks.”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “PowerMatcher [39] is a hierarchical market based algorithm, in which multiple agents that control electronic devices can bid for energy, by considering their own bidding strategy.”
Bidding Strategy of Virtual Power Plant for Participating in Energy and Spinning Reserve Markets—Part I: Problem Formulation (2011, background): “(MAS), which is well addressed in [22] and [23].”
A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems (2015, background): “The process of price negotiation is managed by an auctioneer agent that finds the equilibrium price considering the bids collected from device agents [100].”
Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems (2019, background): “Advantages of LMs include that (1) more self-generated electricity can be consumed locally, which alleviates transport losses [11] and reduces the risk of backfeeding at MV/LV transformers; (2) the local economy is strengthened, which provides new opportunities for local industry and regional busine”