Conference Proceeding Article
Next generation of smart grids face a number of challenges including co-generation from intermittent renewable power sources, a shift away from monolithic control due to increased market deregulation, and robust operation in the face of disasters. Such heterogeneous nature and high operational readiness requirement of smart grids necessitates decentralized control for critical tasks such as power supply restoration (PSR) after line failures. We present a novel multiagent system based approach for PSR using Lagrangian dual decomposition. Our approach works on general graphs, provides provable quality-bounds and requires only local message-passing among different connected sub-regions of a smart grid, enabling decentralized control. Using these quality bounds, we show that our approach can provide near-optimal solutions on a number of large real-world and synthetic benchmarks. Our approach compares favorably both in solution quality and scalability with previous best multiagent PSR approach.
Databases and Information Systems
Intelligent Systems and Decision Analytics
AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems: Istanbul, Turkey, May 4-8
City or Country
AGRAWAL PRITEE, Akshat KUMAR, and Pradeep VARAKANTHAM.
Near-Optimal Decentralized Power Supply Restoration in Smart Grids. (2015). AAMAS '15: Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems: Istanbul, Turkey, May 4-8. 1275-1283. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/3156
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