Maintenance scheduling by using simulated annealing method (for power plants)

Satoh, T.; Nara, Koichi

doi:10.1109/59.76735

Cited by 158 publications

(74 citation statements)

References 10 publications

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“…Also, several effective and efficient techniques have been suggested as alternatives to traditional optimisation-based techniques where the problem size is large and the exact optimal solution is not available. The modern techniques include simulated annealing [5,47,71], genetic algorithms [20,21,56,78,85], heuristics [35,51,77], memetics [8], and hybrids [6,49,50]. Various optimisation studies have also been conducted, including by Billinton and colleague [9], Charles-Owaba [13], Christiaanse [15], El-Sharkh [28], Pan [69], Yamayee and associate [86], and Zunn and Quintana [91,92].…”

Section: Important Fields Of Msmentioning

confidence: 99%

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Maintenance Scheduling: Description, Status and Future Directions

Oke

2012

The South African Journal of Industrial Engineering

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In the past several decades, there have been diverse and significant research activities on maintenance scheduling (MS) due to the multi-disciplinary dimension of the field. As a consequence of this diversity and multi-disciplinary involvement, the MS literature is at present fragmented, somewhat misleading, and deficient in informative articles that cover the length, breadth, and depth of scientific investigations in the field. This paper reviews the scientific discipline of MS, covering general surveys, models, and significant empirical studies and cases in MS research. The research reflects the multidisciplinary nature of work in the field and suggests areas for future investigation. OPSOMMINGIn die afgelope aantal dekades was daar uiteenlopende en aansienlike navorsingsbedrywigheid op die gebied van instandhoudingskedulering (IS) weens die multidissiplinêre dimensie van die gebied. As gevolg van hierdie diversiteit en multidissiplinêre betrokkenheid is die ISliteratuur tans gefragmenteer, ietwat misleidend en gebrekkig aan insiggewende artikels wat die lengte, breedte en diepte van wetenskaplike ondersoeke op die gebied dek. Hierdie artikel bied 'n oorsig oor die wetenskaplike vakgebied van IS en dek algemene opnames, modelle en aansienlike empiriese ondersoeke en gevalle in IS-navorsing. Die navorsing weerspieël die multidissiplinêre uitkyk van werk op dié gebied en open gebiede vir toekomstige navorsing.

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Section: Important Fields Of Msmentioning

confidence: 99%

“…These methods give an exact optimal solution. A second type of research deals with several modern heuristic methods, including simulated annealing (SA) [71], genetic algorithm (GAs) [5,20,21,78], tabu search [5], and hybrid GAs (HGAs).…”

Section: Important Fields Of Msmentioning

confidence: 99%

Maintenance Scheduling: Description, Status and Future Directions

Oke

2012

The South African Journal of Industrial Engineering

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“…The initial temperature should be high enough to melt the system completely and can be reduced toward its freezing point as the search progresses. The temperature is subsequently lowered by multiplying the temperature of a current configuration with a cooling rate less than or close to 1 [13]. Although the choice of a proportional factor is highly problemdependent, empirical experience suggests that 0.9 is a suitable value.…”

Section: Cooling Schedulementioning

confidence: 99%

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

Han¹,

Chung²,

Kim³

2011

Journal of Electrical Engineering and Technology

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-To ensure that equipment outages do not directly impact the reliability of the ISOcontrolled grid, market participants request permission and receive approval for planned outages from the independent system operator (ISO) in competitive electricity markets. In the face of major generation outages, the ISO will make a critical decision as regards the scheduling of the essential maintenance for myriads of generating units over a fixed planning horizon in accordance with security and adequacy assessments. Mainly, we are concerned with a fundamental framework for ISO's maintenance coordination in order to determine precedence of conflicting outages. Simulated annealing, a powerful, general-purpose optimization methodology suitable for real combinatorial search problems, is used. Generally, the ISO will put forward its best effort to adjust individual generator maintenance schedules according to the time preferences of each power generator (GENCO) by taking advantage of several factors such as installed capacity and relative weightings assigned to the GENCOs. Thus, computer testing on a four-GENCO model is conducted to demonstrate the effectiveness of the proposed method and the applicability of the solution scheme to large-scale maintenance scheduling coordination problems.

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“…With the known value of X , , the value of the initial control parameter can then be estimated from (15) …”

Section: )mentioning

confidence: 99%

Simulated annealing based economic dispatch algorithm

Wong

Fung

1993

IEE Proc. C Gener. Transm. Distrib. UK

294

116

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This paper develops an economic dispatch algorithm for the determination of the global or near global optimum dispatch solution. The algorithm is based on the simulated annealing technique. In the algorithm, the load balance constraint and the operating limit constraints of the generators are fully accounted for. In the develop ment of the algorithm, transmission losses are first discounted and they are subsequently incorporated in the algorithm through the use of the Bmatrix loss formula. The algorithm is demonstrated by its application to a test system. The results determined by the new algorithm are compared to those found by dynamic programming with a zoom feature.

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Maintenance scheduling by using simulated annealing method (for power plants)

Cited by 158 publications

References 10 publications

Maintenance Scheduling: Description, Status and Future Directions

Maintenance Scheduling: Description, Status and Future Directions

ISO Coordination of Generator Maintenance Scheduling in Competitive Electricity Markets using Simulated Annealing

Simulated annealing based economic dispatch algorithm

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