2015
DOI: 10.1109/tste.2015.2413872
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A Fuzzy-Multiagent Service Restoration Scheme for Distribution System With Distributed Generation

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Cited by 49 publications
(30 citation statements)
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“…In Reference , a service recovery problem for a distributed network in the presence of DG resources with a minimum number of switching operations is investigated using a multistage fuzzy meta‐heuristic algorithm. Although a comprehensive study is carried out in Reference , it has some problems since planning is based on fuzzy logic. Based on predetermined rules, the decision‐making process is based on fuzzy logic.…”
Section: Introductionmentioning
confidence: 99%
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“…In Reference , a service recovery problem for a distributed network in the presence of DG resources with a minimum number of switching operations is investigated using a multistage fuzzy meta‐heuristic algorithm. Although a comprehensive study is carried out in Reference , it has some problems since planning is based on fuzzy logic. Based on predetermined rules, the decision‐making process is based on fuzzy logic.…”
Section: Introductionmentioning
confidence: 99%
“…The node‐depth encoding method is proposed into the nondominated sorting genetic algorithm. In References , meta‐heuristic algorithms are used to solve the problem that alone cannot achieve the optimal solution. In restoration due to the existence of different restoration modes should help the meta‐heuristic algorithm.…”
Section: Introductionmentioning
confidence: 99%
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“…In this regard, the only existing studies for rapid restoration from faults are as follows: a multi-stage/multiple micro-grid technique for dividing the islanding operation section [7,8], an islanding operation method engaging the droop control of the DG when the fault section is isolated [9][10][11][12][13], a voltage control strategy that involves switching between the grid-connected mode and islanding operation mode for the VSC (Voltage-Sourced Converters) type of DGs [14], a Multi Agent System (MAS) technique for dividing switches, DGs, and load into agents for quick fault restoration [15][16][17][18][19][20], and a fault restoration method for minimizing the number of switch operations for load transfer [21]. However, these papers have focused on permanent faults and temporary faults have not been considered.…”
Section: Introductionmentioning
confidence: 99%
“…One of the main goals is to optimize reconfiguration of the network by using the potential of distributed generation (DG) as in [1] and [2]. They use multi-agent systems or hybrid control approaches to find optimal restoration sequences [3].…”
Section: Introductionmentioning
confidence: 99%