2006 IEEE Power India Conference 2006
DOI: 10.1109/poweri.2006.1632571
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Ant colony search-based loss minimum for reconfiguration of distribution systems

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Cited by 17 publications
(16 citation statements)
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“…MOLR can be employed to change the open\close states of tie switches, sectionalizing switches and PCC switch at any time of a day to optimize different objectives like loss minimization, load balance and minimization of voltage deviation from nominal [30][31][32]. The work in this paper makes a contribution to minimize the total microgrid vulnerability in real time based on the weighted entropy vulnerability assessment index discussed above.…”
Section: Molr Problem Formulationmentioning
confidence: 99%
“…MOLR can be employed to change the open\close states of tie switches, sectionalizing switches and PCC switch at any time of a day to optimize different objectives like loss minimization, load balance and minimization of voltage deviation from nominal [30][31][32]. The work in this paper makes a contribution to minimize the total microgrid vulnerability in real time based on the weighted entropy vulnerability assessment index discussed above.…”
Section: Molr Problem Formulationmentioning
confidence: 99%
“…These algorithms permit the transition between local optima of the feasible region, as well as a more focused search in each subspace. Algorithms based on meta-heuristics, such as Genetic Algorithms [12][13][14][15][16], Simulated Annealing [17,18], Artificial Ant Colony [19] and Tabu Search [20,21], have been used to solve the problem of EDS reconfiguration. With the same purpose in mind, Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, the reconfiguration process is widely used to attain one or combination of those objectives [1][2][3][4][5][6][7][8][9][10][11][12]. This can be usually done by altering the open/closed status of switches of the distribution system.…”
Section: Introductionmentioning
confidence: 99%
“…annealing (SA) [5], plant growth simulation (PGA) [6], fuzzy logic [7] and ant colony optimization (ACO) [8][9][10]. Among these techniques, ant colony algorithm is one of the most effective search intelligent techniques which have been taken into consideration in recent years [8][9][10][11]13,14].…”
Section: Introductionmentioning
confidence: 99%
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