NDLI: Adaptive Negotiation Agent for Facilitating Bi-Directional Energy Trading Between Smart Building and Utility Grid

Content Provider	IEEE Xplore Digital Library
Author	Zhu Wang Lingfeng Wang
Copyright Year	2010
Abstract	Smart and green buildings have attracted much attention in recent years. Development of an effective negotiation model for facilitating the bi-directional energy trading between the utility grid and the building is important for enhancing the building intelligence. In this paper, a negotiation agent based on adaptive attitude bidding strategy (AABS) is proposed. A comprehensive set of factors for the integrated smart building and utility grid system is taken into account in developing the negotiation model. The AABS based negotiation agent turns out to be able to dynamically adjust its behavior in response to varying attitudes in the negotiation process. In addition, an improved particle swarm optimization-adaptive attitude bidding strategy (PSO-AABS) based negotiation agent is developed for adaptively adjusting the trader's decisions according to the opponent's behaviors. It turns out to be capable of making rational deals in bi-directional energy trading by maximizing the trader's payoffs with reduced negotiation time. The feasibility of the proposed negotiation agents is evaluated by the simulation results.
Starting Page	702
Ending Page	710
Page Count	9
File Size	1631855
File Format	PDF
ISSN	19493053
Volume Number	4
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smart buildings Batteries Bidirectional control Adaptation models Renewable energy resources Particle swarm optimization smart building Adaptive attitude energy trading intelligent negotiation agent learning capability particle swarm optimization
Content Type	Text
Resource Type	Article
Subject	Computer Science

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