MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
Electronic multilateral trade of electricity
Advances in Engineering Software
Mascem: A Multiagent System That Simulates Competitive Electricity Markets
IEEE Intelligent Systems
An agent-based decision support system for wholesale electricity market
Decision Support Systems
Trading agents for the smart electricity grid
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Hi-index | 0.00 |
This paper presents a novel architecture of electricity agents in smart grid markets. The architecture implements a middleware that allows standard agent plug-ins representing ''smart grid'' elements in a two-way power flow. Agent operations are automated to allow demand variations and exploring a wider spectrum of trade opportunities in an efficient manner, while coordinating with the system operator for reliability, security, and stability. We give trade and operation computational models of power grid components and their interaction protocols and authentication in a multi-agent framework. Trade models are both pool and multilateral based. Operation models respect power dispatch limits, generation and transmission constraints, and spinning reserve requirements. The models are coded as part of the agent software. The protocols are KQML (Knowledge Query Manipulation Language) based communication. An IEEE 5-bus grid system is used for illustration. The testing results for different load profiles show better distribution of market sales and a market clearing price convergence very close to the marginal cost of generation supply, thus an implication of economic efficiency of energy resources, as well as security and power quality compared to traditional electricity trade models based on Cournot and Bertrand estimated clearing prices.