Real-Time Adaptive VVO/CVR Topology Using Multi-Agent System and IEC 61850-Based Communication Protocol

This paper proposes a new approach for real-time and adaptive Volt/VAr optimization (VVO)/conservation voltage reduction (CVR) system using Intelligent Agents, communicating through IEC 61850 Goose Messaging Protocol. The paper also proposes new real-time adaptive VVO/CVR algorithms tailored for dif...

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Published inIEEE transactions on sustainable energy Vol. 5; no. 2; pp. 587 - 597
Main Authors Manbachi, Moein, Nasri, Maryam, Shahabi, Babak, Farhangi, Hassan, Palizban, Ali, Arzanpour, Siamak, Moallem, Mehrdad, Lee, Daniel C.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.04.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive algorithms
Adaptive systems
Aquatic birds
Communication systems
Conservation voltage reduction (CVR)
IEC 61850
IEC standards
Intelligent agents
Optimization
power line communication (PLC)
Reactive power
Real time
real-time simulation
Real-time systems
smart grid
Smart grids
Topology
Volt/VAr optimization (VVO)
Online AccessGet full text
ISSN1949-3029
1949-3037
DOI10.1109/TSTE.2013.2278540

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Abstract This paper proposes a new approach for real-time and adaptive Volt/VAr optimization (VVO)/conservation voltage reduction (CVR) system using Intelligent Agents, communicating through IEC 61850 Goose Messaging Protocol. The paper also proposes new real-time adaptive VVO/CVR algorithms tailored for different service level targets and system topologies. The paper argues that each of these variations requires different Intelligent Agent Systems, data structures, and communication requirements. To test the applicability of the VVO/CVR optimization engine, a modified IEEE 34 Node system is used as case study.
AbstractList This paper proposes a new approach for real-time and adaptive Volt/VAr optimization (VVO)/conservation voltage reduction (CVR) system using Intelligent Agents, communicating through IEC 61850 Goose Messaging Protocol. The paper also proposes new real-time adaptive VVO/CVR algorithms tailored for different service level targets and system topologies. The paper argues that each of these variations requires different Intelligent Agent Systems, data structures, and communication requirements. To test the applicability of the VVO/CVR optimization engine, a modified IEEE 34 Node system is used as case study.
Author Farhangi, Hassan
Manbachi, Moein
Shahabi, Babak
Nasri, Maryam
Arzanpour, Siamak
Lee, Daniel C.
Palizban, Ali
Moallem, Mehrdad
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Snippet This paper proposes a new approach for real-time and adaptive Volt/VAr optimization (VVO)/conservation voltage reduction (CVR) system using Intelligent Agents,...
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SubjectTerms Adaptive algorithms
Adaptive systems
Aquatic birds
Communication systems
Conservation voltage reduction (CVR)
IEC 61850
IEC standards
Intelligent agents
Optimization
power line communication (PLC)
Reactive power
Real time
real-time simulation
Real-time systems
smart grid
Smart grids
Topology
Volt/VAr optimization (VVO)
Title Real-Time Adaptive VVO/CVR Topology Using Multi-Agent System and IEC 61850-Based Communication Protocol
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