Optimal maintenance strategies for transmission systems using the Genetic Algorithm

Heo, Jae-Hyeok; Park, Geun-Pyo; Yoon, Yong Tae; Park, Jong Keun; Lee, Sang-Seung

doi:10.1109/tdc.2010.5484528

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…These indices, used in Brazil, are directly related to the indices SAIDI and SAIFI, respectively, internationally used as indicators of continuity of power supply [19]. Constraints (8) and 9restrict the number of PM tasks allowed for each component. The constants a 1 , a 2 , a 3 , b 1 and b 2 are chosen based on the company investment policy for maintenance.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…A large number of methods for PM optimization in power systems focusing on RCM can be found in literatures [6][7][8]; some works focused on component maintenance in a medium voltage EPDS network [2,3,[9][10][11][12][13][14]. In these studies, the main differences are related to: (1) the number and nature of objective functions considered in the model; (2) the decision variables considered during modelling;…”

Section: Introductionmentioning

confidence: 99%

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A new approach for reliability-centered maintenance programs in electric power distribution systems based on a multiobjective genetic algorithm

Piasson

Biscaro

Leão

et al. 2016

Electric Power Systems Research

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This paper proposes a multiobjective model to solve the mathematical problem of optimizing reliabilitycentered maintenance planning of an electric power distribution system (EPDS). The main goal is to minimize the preventive maintenance costs while maximizing the index of reliability of the whole system. In the proposed model, the limits of the indices, such as SAIDI and SAIFI, are considered as constraints of the maintenance programs. The reliability indices of the EPDS components are evaluated and updated by a fuzzy inference system. A NSGA-II algorithm was proposed to solve the multiobjective model that provides an optimized Pareto frontier. The results obtained from applying the proposed methodology to a system with three feeders and 733 components are presented, showing its robustness and quality for maintenance planning in EPDS.

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Section: Mathematical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new approach for reliability-centered maintenance programs in electric power distribution systems based on a multiobjective genetic algorithm

Piasson

Biscaro

Leão

et al. 2016

Electric Power Systems Research

View full text Add to dashboard Cite

show abstract

“…Bu çalışmalar çerçevesinde, bakım strateji optimizasyonu için gerek optimizasyon gerekse ÇKKV yöntemlerinin etkin bir şekilde literatürde kullanıldığı kanıtlanmıştır. Uygulama alanı olarak, petrol rafinerisi [10], elektrik üretim santralı [11], [12], kağıt endüstrisi [13], [14], haddehane [15], sağlık sektörü [16], kimya endüstrisi [17], ulaşım [18] gibi birçok farklı sektör seçilmişken, bu önemli probleme simülasyon [19], [20], yapay zeka teknikleri [21], [22], grafiksel yöntemler [23], kalite fonksiyon dağıtımı [24],tam sayılı programlama [13], karışık tam sayılı programlama [25], [26], hedef programlama [10], [11], doğrusal olmayan programlama [27], AHP [15], ANP [28], TOPSIS [29], VIKOR [30], ELECTRE [31] gibi analitik yöntemler ile çözümler bulunmuştur.…”

Section: Introductionunclassified

A Mathematical Model Proposal for Maintenance Strategies Optimization of the Most Critical Electrical Equipment Groups of Hydroelectric Power Plants

Özcan¹,

Danışan²,

Eren³

2019

Pamukkale J Eng Sci

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Bakım, üretim tesislerinin kesintisiz, kalite düzeyi yüksek, ekonomik, verimli, güvenilir ve çevreye duyarlı üretim yapması olarak tanımlanan sürdürülebilirlik hedefine üst düzeyde katkı sağlayan bir prosestir. Bu önemli prosesin en önemli aşamalarının başında bakım planlaması gelmektedir ve bu fazın ilk ve vazgeçilmez aşaması ise bakım strateji seçimidir. Bakım proseslerinin üretim duruşu, malzeme, zaman ve iş gücü gereksinimi nedeniyle önemli maliyetler doğurması düşünüldüğünde, özellikle kritik ekipmanlara uygun bakım

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“…In [10], a hybrid intelligent algorithm was proposed, which optimizes the maintenance schedule of facility groups to satisfy various conditions. In [11], Genetic Algorithm (GA) was used to find an optimal maintenance strategy for transmission systems. To consider aged and very different facilities, the facility state model using a modified semi-Markov chain was proposed.…”

Section: Introductionmentioning

confidence: 99%

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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Optimal maintenance strategies for transmission systems using the Genetic Algorithm

Cited by 7 publications

References 12 publications

A new approach for reliability-centered maintenance programs in electric power distribution systems based on a multiobjective genetic algorithm

A new approach for reliability-centered maintenance programs in electric power distribution systems based on a multiobjective genetic algorithm

A Mathematical Model Proposal for Maintenance Strategies Optimization of the Most Critical Electrical Equipment Groups of Hydroelectric Power Plants

Inspection schedule optimization technique for power distribution facilities

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