Fast service restoration for large-scale distribution systems with priority customers and constraints

Miu, Karen; Chiang, Hsiao‐Dong; Yuan, None Bentao; Darling, G.

doi:10.1109/59.708643

Cited by 151 publications

(29 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For instance, researchers [1,2] incorporated dispatcher's experience and operating rules into an expert system to assist the dispatcher. Related investigations formulated the restoration problem as an optimization problem to minimize the number of unserviced customers [3,4]. This problem has been approached using heuristics [5,6,7] mathematical programming [8], metaheuristics (genetic algorithms, tabu search, simulated annealing) [9,10] and expert systems [11].…”

Section: Methods Usedmentioning

confidence: 99%

Evolutionary approach to optimisation of the operation of electric power distribution networks

Stępień¹,

Filipiak²

2013

IJACSA

View full text Add to dashboard Cite

Abstract-An idea of using a classifying system and coevolutionary algorithm for operation support of electric power distribution systems operators has been presented in the paper. The method proposed by the author of the work is typified by the short time of designating the most rational post breakdown configurations in complex electric power Medium Voltage distribution network structures. It is the use by the classifying system working with the co-evolution algorithm that enables the effective creation of substitute scenarios for the Medium Voltage electric power distribution network. The method drawn up may be used in current systems managing the work of distribution networks to assist network operators in taking decisions concerning connection actions in supervised electric power systems.

show abstract

Section: Methods Usedmentioning

confidence: 99%

Evolutionary approach to optimisation of the operation of electric power distribution networks

Stępień¹,

Filipiak²

2013

IJACSA

View full text Add to dashboard Cite

show abstract

“…In [2][3][4][5][6], the heuristic method is used to solve service restoration problem. In [2], comparative studies for four modern heuristic algorithms (reactive tabu search, tabu search, parallel simulated annealing, and genetic algorithms) are presented for the service restoration.…”

Section: Introductionmentioning

confidence: 99%

Service restoration in distribution networks using combination of two heuristic methods considering load shedding

Gholami

Moshtagh

Ghadernejad

2015

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

Two heuristic methods are proposed to find an effective and fast solution in modern power distribution networks. For solving the service restoration problem in distribution networks, switch selection indices based on an analytic approach and a practicable heuristic graph-based method are given. The formulation of the problem includes four different objective functions: 1) maximizing the total load restored; 2) minimizing the number of switching operations; 3) maximizing the top priority restored load; 4) minimizing load shedding. A suitable evaluation of switch indices is used for all candidate tie switches (TSs) in the network to find the best solution and decrease the number of switching operations. A new graph-based approach is utilized for finding the best sectionalizes switch (SS) and minimizing the voltage drop. The accuracy and the validity of the approach are tested in two standard electrical distribution networks. The results of the approach are used for IEEE 69-bus and IEEE 119-bus test case.

show abstract

“…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%

Towards optimal post-fault self-healing in future smart distribution grids

Capitanescu

Bilibin

Sachau

2024

RE&PQJ

View full text Add to dashboard Cite

Abstract. This paper deals with a key functionality of the future distribution smart grids namely the automatic post-fault network self-healing. To this end we propose an optimization approach that aims finding the post-fault grid topology that minimizes the amount of unsupplied energy to consumers. The approach extends existing optimization models, developed in the context of losses minimization, for our particular application and proposes ways to overcome their limitations. We prove the interest of the approach on a 33-bus benchmark distribution system as well as on a 61-bus real-life distribution grid.

show abstract

Fast service restoration for large-scale distribution systems with priority customers and constraints

Cited by 151 publications

References 11 publications

Evolutionary approach to optimisation of the operation of electric power distribution networks

Evolutionary approach to optimisation of the operation of electric power distribution networks

Service restoration in distribution networks using combination of two heuristic methods considering load shedding

Towards optimal post-fault self-healing in future smart distribution grids

Contact Info

Product

Resources

About