A Privacy Preserving Multiagent System for Load Balancing in the Smart Grid
Pages 2273 - 2275
Abstract
To improve system economics and reliability, microgrids (viz. power consumers equipped with local generators) can cooperatively utilize their local energy to facilitate load balancing on the power grid (balancing the regional supply and demand) via a multiagent system. However, due to the privacy concerns on continuously revealing each microgrid's local data (e.g., demand and supply at different times) for deriving real-time optimal balancing decisions, the application of such multiagent cooperation is still limited. In this paper, we design a novel privacy preserving multiagent system via an efficient cryptographic protocol for cooperatively balancing the regional supply and demand, as well as each microgrid's local supply and demand without disclosing their local data.
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Index Terms
- A Privacy Preserving Multiagent System for Load Balancing in the Smart Grid
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Published In
May 2019
2518 pages
ISBN:9781450363099
- General Chairs:
- Edith Elkind,
- Manuela Veloso,
- Program Chairs:
- Noa Agmon,
- Matthew E. Taylor
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Publisher
International Foundation for Autonomous Agents and Multiagent Systems
Richland, SC
Publication History
Published: 08 May 2019
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- Research-article
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AAMAS '19
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AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems
May 13 - 17, 2019
Montreal QC, Canada
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AAMAS '19 Paper Acceptance Rate 193 of 793 submissions, 24%;
Overall Acceptance Rate 1,155 of 5,036 submissions, 23%
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