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

Ebrahim Rokrok, Miadreza Shafie-khah, Pierluigi Siano and João P. S. Catalão
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Ebrahim Rokrok: Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilhã, Portugal
Miadreza Shafie-khah: Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilhã, Portugal
Pierluigi Siano: Department of Industrial Engineering, University of Salerno, 84084 Fisciano (SA), Italy
João P. S. Catalão: Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, R. Fonte do Lameiro, 6201-001 Covilhã, Portugal

Energies, 2017, vol. 10, issue 10, 1-20

Abstract: 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.

Keywords: average consensus algorithm (ACA); black start; local controller; microgrid (MG); multi-agent system (MAS); power system restoration (PSR) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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