/Multiagent Coordination for Demand Management with Energy Generation and Storage (Extended Abstract)

Multiagent Coordination for Demand Management with Energy Generation and Storage (Extended Abstract)

Ronghuo Zheng, Ying Xu, Nilanjan Chakraborty and Katia Sycara
Conference Paper, Conference on Autonomous Agents and Multi Agent Systems (AAMAS), Paris, France, May, 2014

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Abstract

This paper focuses on demand management of electricity in con- sumer groups that form a cooperative. We propose a novel mul- tiagent coordination algorithm to shape the energy consumption of the cooperative in the presence of energy generation and stor- age. To coordinate individual consumers under incomplete infor- mation and optimize the energy storage decision, we decompose the problem to two subproblems: (a) optimizing demand profile of consumers given storage policy and (b) optimizing storage policy given demand profile of consumers. We prove that our algorithm converges to the optimal solution. Simulation results based on real world consumption data indicate scalability of our algorithm with respect to the number of agents and consumption slots.

BibTeX Reference
@conference{Zheng-2014-7868,
author = {Ronghuo Zheng and Ying Xu and Nilanjan Chakraborty and Katia Sycara},
title = {Multiagent Coordination for Demand Management with Energy Generation and Storage (Extended Abstract)},
booktitle = {Conference on Autonomous Agents and Multi Agent Systems (AAMAS), Paris, France},
year = {2014},
month = {May},
keywords = {Multiagent Coordination, Energy, Convergence},
}
2017-09-13T10:39:00+00:00