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.
Highlights
Nowadays, the limited operating margins of the power systems have increased the risk of power blackouts and system collapse
During procedure,procedure, a benchmark ordertoto evaluate dynamic behavior of an MGrestoration during restoration a MG network presented in Figure isinimplemented in the simulation platform
This paper paper proposed proposed aa decentralized decentralized multi-agent-based multi-agent-based approach approach for for MG. This proposed scheme, the local controllers were assigned to specific agents
Summary
The limited operating margins of the power systems have increased the risk of power blackouts and system collapse. Several major blackouts have occurred around the world. The blackout that occurred on 14 August 2003 in North America, caused an immense loss and the power system restoration (PSR) lasted nearly two weeks [1]. A European power outage affected 15 million people on 4 November 2006, and it lasted up to 2 h. The blackout that occurred on 31 July 2012, in north India deenergized 50 GW of loads and affected 670 million people. The 2009 Brazil and Paraguay blackout was a power outage that occurred in many sections of Brazil and for a short time affected the entirety of Paraguay. The consensus problem prevalent problem inindistributed control. Control.InIn. The distributed subsections, the ACA subsections, the subsections, the ACA is explained. The following two Theconsensus consensusproblem problemisisisaaaprevalent prevalentproblem problemin distributedcontrol. control.InIn
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