Genetic algorithm based optimization for configuration and operation of emergency generators in medical facility

Tanaka, Masaharu; Eto, Haruhi; Mizuno, Yuji; Matsui, Nobumasa; Kurokawa, Fujio

doi:10.1109/icrera.2017.8191194

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…1,3 Mobile emergency generators (MEGs), which have versatile power restoration features with a good range of power capacity, are included in this context. 1,[14][15][16][17][18][19][20][21][22][23][24][25] Unlike fixed power sources, MEGs have the advantage of being able to be dispatched by trucks to various points on the same feeder, or even to different feeders, and are easily connected to the points of interest using clamps. In addition, as they are connected to small and radial sections, adjustments to the system's protection scheme are not necessary.…”

Section: Introductionmentioning

confidence: 99%

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Using mobile emergency generators as reliability enhancers in distribution systems

Rodrigues

Araujo

Penido

2020

Int Trans Electr Energ Syst

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Summary In this paper, the use of mobile emergency generators (MEGs) is analyzed as a way to improve reliability indices of distribution networks, which is a practice already used by many system operators, but very little studied in the literature. MEGs can be used in the case of faults in distribution systems as devices capable of restoring the power supply to groups of customers that would otherwise be interrupted during the entire duration of the fault. Unlike fixed distributed generation (DG), an MEG can be easily transported between different points on a feeder, and its starting position greatly influences its impacts on reliability, so this work proposes a way to find the MEG's best starting position, considering all the events in which it will have to travel to different nodes. A fault simulation algorithm is also proposed, so that faults are analyzed about their impact on the reliability indices, taking into account that an MEG can be used by the system operator in each fault situation. Simulations are conducted on a real feeder, and reliability indices are compared in different scenarios on this feeder.

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Section: Introductionmentioning

confidence: 99%

“…The use of MEGs, however, appears in some studies. 16,17 Costs related to MEG dispatches are analyzed in References 18 and 19; in these studies, some conclusions concerning the use of MEGs in the systems are analyzed, but reliability studies have not been carried out.…”

Section: Introductionmentioning

confidence: 99%