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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Development of a Self-Healing Strategy With Multiagent Systems for Distribution Networks

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Author(s):
Leite, Jonatas Boas ; Sanches Mantovani, Jose Roberto
Total Authors: 2
Document type: Journal article
Source: IEEE TRANSACTIONS ON SMART GRID; v. 8, n. 5, p. 2198-2206, SEP 2017.
Web of Science Citations: 11
Abstract

The increase in information and communication technologies in the electric power system has led the distribution network to a new evolutionary stage known as a smart grid. In this scenario, automatic local switching plans based on an understanding of the network topology and load behavior allow the implementation of self-healing strategies. Self-healing aims at the minimization of the number of switching operations within the shortest time interval to restore the maximum load affected by a fault and to preserve distribution network operation limits. In this paper, multiagent system concepts are employed to develop a self-healing strategy, where all switching local agents have some awareness regarding the current network state and work cooperatively to reach the global purpose of distribution network automatic restoration. (AU)

FAPESP's process: 14/22377-1 - Development Proposal of the Self-Healing Technique on Smart Grid using a Multi-Agent System
Grantee:Jonatas Boas Leite
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 15/17757-2 - Weather-based Risk Analysis for Power System Operation.
Grantee:Jonatas Boas Leite
Support type: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 13/23590-8 - Development of a distribution energy management system simulator for Smart Grids
Grantee:José Roberto Sanches Mantovani
Support type: Regular Research Grants