DocumentCode
3016296
Title
Notice of Violation of IEEE Publication Principles
The Design of Multi-agent System in IDAPS Microgrid
Author
Shi, Dejia ; Wang, Li ; He, Jing
Author_Institution
Sch. of Comput. & Electron. Eng., Hunan Univ. of Commerce, Changsha, China
fYear
2009
fDate
8-9 Dec. 2009
Firstpage
63
Lastpage
66
Abstract
Notice of Violation of IEEE Publication Principles
"The Design of Multi-agent System in IDAPS Microgrid"
by Dejia Shi, Li Wang, Jing He.
in the Proceedings of the International Asia Symposium on Intelligent Interaction and Affective Computing, 2009. ASIA \´09, pp. 63-66
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the papers cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper titles) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following articles:
"Issues in Integrating Existing Multi-agent Systems for Power Engineering Applications",
by V. M. Catterson, E. M. Davidson, S. D. J. McArthur.
in the Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, 2005. Nov. 2005
"Multi-agent Systems in a Distributed Smart Grid: Design and Implementation,"
by M. Pipattanasomporn, H. Feroze, and S. Rahman,
in the Proceedings of the IEEE/PES Power Systems Conference and Exposition, 2009. PSCE \´09., pp.1-8, March 2009
In this paper we propose the integration of Condition Monitoring Multi-agent System and Protection Engineering Diagnostic Agents to build a multi-agent system for Intelligent Distributed Autonomous Power System. By the mean we can offer enhanced decision support to engineers tasked with managing transformer assets. By means of offering interpreted data related to condition monitoring and IDAPS Microgrid, the proposed integrated system can provide technicians a better comprehensive for the health of the power system. The integ- ration of Condition Monitoring Multi-agent System and Protection Engineering Diagnostic Agents as Multi-agent System in IDAPS Micro grid can solve the issues inherent to the inter-operation of existing multi-agent systems. Especially, the problems surround the use of different ontology. We think that these problems can be settled by widespread deployment of MAS technology within the power industry. This paper presents research undertaken to integrate the two MAS to build a new system to deal with ontology issues.
"The Design of Multi-agent System in IDAPS Microgrid"
by Dejia Shi, Li Wang, Jing He.
in the Proceedings of the International Asia Symposium on Intelligent Interaction and Affective Computing, 2009. ASIA \´09, pp. 63-66
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains significant portions of original text from the papers cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper titles) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following articles:
"Issues in Integrating Existing Multi-agent Systems for Power Engineering Applications",
by V. M. Catterson, E. M. Davidson, S. D. J. McArthur.
in the Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, 2005. Nov. 2005
"Multi-agent Systems in a Distributed Smart Grid: Design and Implementation,"
by M. Pipattanasomporn, H. Feroze, and S. Rahman,
in the Proceedings of the IEEE/PES Power Systems Conference and Exposition, 2009. PSCE \´09., pp.1-8, March 2009
In this paper we propose the integration of Condition Monitoring Multi-agent System and Protection Engineering Diagnostic Agents to build a multi-agent system for Intelligent Distributed Autonomous Power System. By the mean we can offer enhanced decision support to engineers tasked with managing transformer assets. By means of offering interpreted data related to condition monitoring and IDAPS Microgrid, the proposed integrated system can provide technicians a better comprehensive for the health of the power system. The integ- ration of Condition Monitoring Multi-agent System and Protection Engineering Diagnostic Agents as Multi-agent System in IDAPS Micro grid can solve the issues inherent to the inter-operation of existing multi-agent systems. Especially, the problems surround the use of different ontology. We think that these problems can be settled by widespread deployment of MAS technology within the power industry. This paper presents research undertaken to integrate the two MAS to build a new system to deal with ontology issues.
Keywords
condition monitoring; decision support systems; multi-agent systems; ontologies (artificial intelligence); power system analysis computing; smart power grids; IDAPS microgrid; condition monitoring; decision support; intelligent distributed autonomous power system; multi-agent system; ontology; power industry; protection engineering diagnostic agents; transformer asset management; Asset management; Condition monitoring; Intelligent agent; Intelligent systems; Multiagent systems; Ontologies; Power engineering and energy; Power system management; Power system protection; Systems engineering and theory; Intelligent Distributed Autonomous Power System; Micro Gri; Multi-agent System;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Interaction and Affective Computing, 2009. ASIA '09. International Asia Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3910-2
Electronic_ISBN
978-1-4244-5406-8
Type
conf
DOI
10.1109/ASIA.2009.17
Filename
5376083
Link To Document