IP Network based Multi agent Systems for Industrial Automation: Information Mana

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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