2009
DOI: 10.1016/j.ijepes.2009.03.013
|View full text |Cite
|
Sign up to set email alerts
|

A heuristic method for feeder reconfiguration and service restoration in distribution networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
30
0
5

Year Published

2015
2015
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 84 publications
(35 citation statements)
references
References 14 publications
0
30
0
5
Order By: Relevance
“…These methods can be divided in mathematical methods and metaheuristic methods. Among the mathematical methods, mixed integer linear program (MILP) is one of the powerful techniques, as shown in [8][9][10][11][12]. Among the meta-heuristic methods, which genetic algorithm is one of them, several techniques, such as: tabu search, particle swarm optimization, or evolutionary method, could be used to solve this problem [13][14][15][16][17].…”
Section: Genetic Algorithmsmentioning
confidence: 99%
“…These methods can be divided in mathematical methods and metaheuristic methods. Among the mathematical methods, mixed integer linear program (MILP) is one of the powerful techniques, as shown in [8][9][10][11][12]. Among the meta-heuristic methods, which genetic algorithm is one of them, several techniques, such as: tabu search, particle swarm optimization, or evolutionary method, could be used to solve this problem [13][14][15][16][17].…”
Section: Genetic Algorithmsmentioning
confidence: 99%
“…For example, the load uncertainty is handled by segregating the load profiles based on customer type [4], maximum and average demand of the system [27] or other stochastic procedures as in [14]. This paper uses SA method to account for DER uncertainty.…”
Section: The Scope and Contributionmentioning
confidence: 99%
“…Accordingly, most researches on service restoration focus on the first step of the decomposed approach by: composite heuristics [4][5][6][7][8][9][10], evolutionary algorithms [11][12][13][14][15], and expert systems [16] among others, for a comprehensive literature survey up to 2010 about the entire service restoration topic the reader is referred to [1].…”
Section: Introductionmentioning
confidence: 99%