Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Convex Optimization
Strategic bidding in continuous double auctions
Artificial Intelligence
Intelligent agents for the smart grid
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Cooperatives of distributed energy resources for efficient virtual power plants
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Decentralized coordination of plug-in hybrid vehicles for imbalance reduction in a smart grid
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Efficiently eliciting preferences from a group of users
ADT'11 Proceedings of the Second international conference on Algorithmic decision theory
Hierarchically structured energy markets as novel smart grid control approach
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Optimal decentralised dispatch of embedded generation in the smart grid
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Electricity agents in smart grid markets
Computers in Industry
A survey of smart data pricing: Past proposals, current plans, and future trends
ACM Computing Surveys (CSUR)
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The vision of the Smart Grid includes the creation of intelligent electricity supply networks to allow efficient use of energy resources, reduce carbon emissions and are robust to failures. One of the key assumptions underlying this vision is that it will be possible to manage the trading of electricity between homes and micro-grids while coping with the inherent real-time dynamism in electricity demand and supply. The management of these trades needs to take into account the fact that most, if not all, of the actors in the system are self-interested and transmission line capacities are constrained. Against this background, we develop and evaluate a novel market-based mechanism and novel trading strategies for the Smart Grid. Our mechanism is based on the Continuous Double Auction (CDA) and automatically manages the congestion within the system by pricing the flow of electricity. We also introduce mechanisms to ensure the system can cope with unforseen demand or increased supply capacity in real time. Finally, we develop new strategies that we show achieve high market efficiency (typically over 90%).