Automatic Power Restoration in Distribution Systems Modeled Through Multiagent Systems

Authors

Keywords:

Distribution System, Smart Grid, Network Restoration, Multiagent System

Abstract

This paper proposes a restoration strategy based on Multiagent Systems to solve the restoration problem in distribution systems. The model addresses the sequential stages of energy restauration in order to define the rules, actions, and operating environment of each agent, taking into account the analysis of technical reports and operational guidelines. This model considers the application of a strategic plan for energy restoration with the possibility of load shedding, which addresses the mapping of out-of-service areas, the assessment of the supply capacity of each feeder and the maximization of loads restored through switching. The presented model is applied to a typical distribution network, the simulation results show that the proposed model is capable of restoring out of service loads without violating the operational restrictions of the distribution system.

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Author Biographies

Gyan Flavio Angelo Martins, Universidade Estadual do Oeste do Paraná

Possui Graduação em Engenharia Elétrica pelo Centro Universitário Dinâmica das Cataratas (2016) e Mestrado em Engenharia Elétrica e Computação pela Universidade Estadual do Oeste do Paraná (2019). Atualmente, atua como Professor no Centro Universitário Dinâmica das Cataratas em Foz do Iguaçu.

Adriano Batista de Almeida, Western Parana State University

Possui Graduação em Engenharia Elétrica pela Universidade Estadual do Oeste do Paraná (2009), Mestrado (2011) e Doutorado (2015) em Engenharia Elétrica pela Universidade Federal de Itajubá. Foi pesquisador visitante na University of Strathclyde em Glasgow (Escócia) entre 2013 e 2014. Atualmente, é Professor Adjunto do Centro de Engenharias e Ciências Exatas da Universidade Estadual do Oeste do Paraná. Pesquisador na área de Operação e Controle de Microrredes de Energia Elétrica e em Sistemas Elétricos de Potência.

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Published

2021-03-09
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