IP Network-based Multi-agent Systems for Industrial Automation: Information Management, Condition Monitoring and Control of Power Systems

Description

A mobile agent is a software program with the capability to suspend its
execution and resume it on another computer. Agents are a relatively
recent development in computer science, which have become a popular and
useful methodology for the modelling and implementation of distributed
systems, particularly those consisting of a number of largely autonomous
components.

The extensive use of multi-agent systems in various areas
including information management, industrial control and manufacturing
systems, suggests that the multi-agent systems methodology may also be
appropriate for the design of power system automation systems.
IP Network-based Multi-agent Systems for Industrial Automation:
Information Management, Condition Monitoring and Control of Power
Systems is the first book to present an introduction to the use of the
Internet protocol suite and multi-agent systems for the information
management, online monitoring and control of distributed power system
substations. It proposes an open architecture for information management
and control, based on the concepts of multi-agent systems and mobile
agents. In this book, mobile agents are applied to the retrieval and
analysis of substation data, and to remote operator intervention. This
book also describes a prototype implementation of the architecture, in
the form of a substation information management system, which has been
demonstrated and evaluated using a substation simulator. The
architecture is also evaluated theoretically with respect to its
performance, modifiability, functionality and reliability. As mobile
agent technologies are in the early stages the real applications of
these technologies are rare IP Network-based Multi-agent Systems for
Industrial Automation: Information Management, Condition Monitoring and
Control of Power Systems will be an excellent reference for
postgraduates, researchers and academics in engineering and computer
science, as well as engineers in system automation and managers in
distributed industrial systems.

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