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

Author

Manbachi, M. ; Nasri, Mohsen ; Shahabi, Babak ; Farhangi, H. ; Palizban, A. ; Arzanpour, Siamak ; Moallem, Mehrdad ; Lee, Daniel C.

Author_Institution

Sch. of Mechatron. Syst. Eng., Simon Fraser Univ. (SFU), Surrey, BC, Canada

Volume

5

Issue

2

fYear

2014

fDate

Apr-14

Firstpage

587

Lastpage

597

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.

Keywords

IEC standards; multi-agent systems; power engineering computing; protocols; reactive power; smart power grids; IEC 61850 goose messaging protocol; IEC 61850-based communication protocol; VVO/CVR optimization engine; adaptive volt/var optimization; communication requirements; conservation voltage reduction system; data structures; intelligent agent systems; modified IEEE 34 node system; multiagent system; real-time adaptive VVO/CVR algorithms; real-time adaptive VVO/CVR topology; service level targets; Adaptive systems; IEC standards; Optimization; Reactive power; Real-time systems; Smart grids; Conservation voltage reduction (CVR); IEC 61850; Volt/VAr optimization (VVO); intelligent agents; power line communication (PLC); real-time simulation; smart grid;

fLanguage

English

Journal_Title

Sustainable Energy, IEEE Transactions on

Publisher

ieee

ISSN

1949-3029

Type

jour

DOI

10.1109/TSTE.2013.2278540

Filename

6620951