NDLI: Proposed Architecture for Substation Local Master Station (LMS) based on Intelligent Agents: Challenges and Benefits

Content Provider	IEEE Xplore Digital Library
Author	Picasso-Blanquel, C. Ibarguengoytia, P.H. Alvarez-Cortes, V.
Copyright Year	2006
Description	Author affiliation: Div. of Control Syst., Electrical Res. Inst. (Picasso-Blanquel, C.; Ibarguengoytia, P.H.; Alvarez-Cortes, V.)
Abstract	Multi-agent systems (MAS) is a novel technology that is being used in several fields of engineering. In environments where several decisions have to be made, the MAS is conformed by agents that utilize artificial intelligence (AI) techniques to support real time autonomous operation. This paper presents a proposed application of MAS in electrical substation automation and in distribution automation systems. These automation systems are formed, among other equipment, by the local master station (LMS): the computational system of the substation. The master station executes the control and central processing of the distribution networks or dispatch regional centers. In this kind of environments, multiple collaborative agents achieve their specific goals and cooperate to achieve the system goal. Specific activities carried out by the agents include the acquisition of information, communication transport information, data management and visualization functions. The acquisition is achieved from the substation equipment like remote terminal units (RTUs), meters, protections and relays (IEDs). This paper presents an overview of the principles underlying the intelligent agents' paradigm and the AI techniques that can be utilized to support collaborative agents in a substation environment. This paper also discusses the potential benefits of this approach over the traditional architectures as well as the foreseen challenges involved
Sponsorship	IEEE Power Eng. Soc
Starting Page	1
Ending Page	5
File Size	695942
Page Count	5
File Format	PDF
ISBN	1424402875
DOI	10.1109/TDCLA.2006.311471
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-15
Publisher Place	Venezuela
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multiagent systems Substations Computer Architecture Intelligent Systems Process control Communication system control Artificial Intelligence Least squares approximation Intelligent agent Cooperative Systems Centralized control SCADA Systems Substation automation Collaboration Automatic control Artificial intelligence
Content Type	Text
Resource Type	Article

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