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Energies 2017, 10(10), 1491;

A Decentralized Multi-Agent-Based Approach for Low Voltage Microgrid Restoration

Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilhã, Portugal
Department of Industrial Engineering, University of Salerno, 84084 Fisciano (SA), Italy
Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal
Institute for Systems and Computer Engineering, Research and Development (INESC-ID), Instituto Superior Técnico, University of Lisbon, Av. Rovisco Pais, 1049-001 Lisbon, Portugal
Authors to whom correspondence should be addressed.
Academic Editor: Pedro Faria
Received: 11 August 2017 / Revised: 16 September 2017 / Accepted: 18 September 2017 / Published: 27 September 2017
(This article belongs to the Special Issue Distributed Energy Resources Management)
Full-Text   |   PDF [3013 KB, uploaded 27 September 2017]   |  


Although a well-organized power system is less subject to blackouts, the existence of a proper restoration plan is nevertheless still essential. The goal of a restoration plan is to bring the power system back to its normal operating conditions in the shortest time after a blackout occurs and to minimize the impact of the blackout on society. This paper presents a decentralized multi-agent system (MAS)-based restoration method for a low voltage (LV) microgrid (MG). In the proposed method, the MG local controllers are assigned to the specific agents who interact with each other to achieve a common decision in the restoration procedure. The evaluation of the proposed decentralized technique using a benchmark low-voltage MG network demonstrates the effectiveness of the proposed restoration plan. View Full-Text
Keywords: average consensus algorithm (ACA); black start; local controller; microgrid (MG); multi-agent system (MAS); power system restoration (PSR) average consensus algorithm (ACA); black start; local controller; microgrid (MG); multi-agent system (MAS); power system restoration (PSR)

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Rokrok, E.; Shafie-khah, M.; Siano, P.; Catalão, J.P.S. A Decentralized Multi-Agent-Based Approach for Low Voltage Microgrid Restoration. Energies 2017, 10, 1491.

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