Condition assessment and maintenance scheduling for distribution reclosers

Warner, Joe; Jewell, Ward; Bhusal, Prabodh

doi:10.1109/tdc.2010.5484238

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Eqs. (12) and (13) show the upper limit of the cost required to inspect one inspection area and one individual group, respectively. Eq.…”

Section: B Objective Functionmentioning

confidence: 99%

“…The nearest neighbor group of area r i that satisfies the constraints of Eqs. (12), (13), and (15) is selected as a target group. If there is no such group in the neighborhood areas, zero is stored.…”

Section: Cost Reduction Value Setmentioning

confidence: 99%

“…Specifically, for each area R j included in neighborhood area η x , crv is recalculated while setting gr in the nearest neighbor group of the area r x which satisfies the constraints of Eqs. (12), (13), and (15). Finally, crv of area r x is updated.…”

Section: Inspection Cost Minimization Algorithmmentioning

confidence: 99%

“…To consider aged and very different facilities, the facility state model using a modified semi-Markov chain was proposed. In [12], a method for optimizing maintenance schedules was presented that estimates the failure rates of distribution reclosers and schedules maintenance for them based on the difference between pre-and postmaintenance risk.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Inspection schedule optimization technique for power distribution facilities

Yumbe

Hasegawa

2012

PES T&D 2012

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Power distribution companies must establish an optimal maintenance schedule that balances reliability and efficiency of a number of widely scattered facilities. Conventionally, Japanese power utilities divide their distribution areas into multiple inspection areas, and they maintain high reliability by periodically inspecting each area. A time-based maintenance scheme is generally inefficient. This paper proposes a method of optimizing inspection schedules of Japanese distribution facilities. A condition model is presented that predicts the next inspection timing of each facility using past inspection data. Moreover, an algorithm to minimize the inspection cost based on the predicted inspection timing is proposed. The algorithm can efficiently calculate the optimal combination of two inspection schemes, an area inspection scheme and an individual inspection scheme. Simulation results with test data show that the algorithm reduces the inspection cost by 15%. The proposed method results in a more effective inspection schedule.

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“…Eqs. (12) and (13) show the upper limit of the cost required to inspect one inspection area and one individual group, respectively. Eq.…”

Section: B Objective Functionmentioning

confidence: 99%

Section: Cost Reduction Value Setmentioning

confidence: 99%