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

Author(s)

Leite, Jonatas Boas ; Sanches Mantovani, Jose Roberto

• 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 Opportunities: Scholarships in Brazil - Post-Doctoral
• FAPESP's process: 15/17757-2 - Weather-based risk analysis for power system operation
• Grantee: Jonatas Boas Leite
• Support Opportunities: 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 Opportunities: Regular Research Grants