• Title/Summary/Keyword: Probabilistic maintenance technique

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Impact of Maintenance Outage Rate Modeling on the Minimum Reserve Rate in Long-term Generation Expansion Planning (예방정비율(MOR) 모델링 방식이 수급계획의 최소설비예비율 산정에 미치는 영향)

  • Kim, Hyoungtae;Lee, Sungwoo;Kim, Wook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.12
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    • pp.1712-1720
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    • 2017
  • In South Korea, minimum reserve rate, which is to satisfy reliability standard, has been determined by simulation result using WASP. But, it is still controversial whether the level of minimum reserve rate is adequate. Thus, in this study, various analyses of minimum reserve rate are being conducted. WASP uses the probabilistic simulation technique to evaluate whether reliability standard is satisfied. In this process, forced outage rate and maintenance periods of each generator play important roles. Especially, the long-term plan can be varied depending on how maintenance periods deal with. In order to model maintenance periods in the probabilistic simulation technique, WASP uses derating method. However, broad analyses have to be conducted because there are various ways including derating method to model maintenance periods which result in different results. Therefore, in this paper, 3 different maintenance outage rate modeling methods are applied to arbitrarily modeled system based on the basic plan for long-term electricity supply and demand of South Korea. Results show impact of each modeling method on minimum reserve rate.

A Study on Impact of Generator Maintenance Outage Modeling on Long-term Capacity Expansion Planning (발전기 계획예방정비 모델링 방식이 전원계획 수립에 미치는 영향에 관한 연구)

  • Kim, Hyoungtae;Lee, Sungwoo;Kim, Wook
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.4
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    • pp.505-511
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    • 2018
  • Long term capacity expansion planning has to be carried out to satisfy pre-defined system reliability criterion. For purpose of assessing system reliability, probabilistic simulation technique has been widely adopted. However, the way how to approximate generator outage, especially maintenance outage, in probabilistic simulation scheme can significantly influence on reliability assessment. Therefore, in this paper, 3 different maintenance approximation methods are applied to investigate the quantitative impact of maintenance approximation method on long term capacity expansion planning.

Development of Preventive Maintenance Plan based on PRA - Case Study of Pansong-Line Railway in Pusan - (위험도평가에 기초한 예방유지관리 계획 - 부산지하철 반송선의 설계 예 -)

  • Kim Jae-Won;Choi Young-Min;Kim Dae-Sung;Kim Kyo-Hun;Park Hyang-Woo
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.482-487
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    • 2005
  • In the most current Turn-key bidding and Alternative design, is going to establish maintenance plan along with a economical assessment (VE/LCC assessment etc). Generally, establishment of maintenance plan is based on past experiences that are decided upon sensor position and amount with analytic or mechanical control section. But, it is more reasonable that maintenance plan based on level of significance for Probabilistic Risk, with presuming damage probability assessment of structural fracture scenarios. Therefore, in this study it is considered about the technique that an improved maintenance plan of railroad structures using PRA (Probabilistic Risk Assessment) on the basis of structural reliability theory. For this, in the paper, Preventive maintenance plan based on PRA is suggested with an application example of Pansong-Line (Line number 3) railway in Pusan works that actually executed Turn-key design.

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Repair Cost Analysis for RC Structure Exposed to Carbonation Considering Log and Normal Distributions of Life Time (탄산화에 노출된 철근콘크리트 구조물의 로그 및 정규 수명분포를 고려한 보수비용 해석)

  • Woo, Sang-In;Kwon, Seung-Jun
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.6 no.3
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    • pp.153-159
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    • 2018
  • Many researches have been carried out on carbonation, a representative deterioration in underground structure. The carbonation of RC (Reinforced Concrete) structure can cause steel corrosion through pH drop in concrete pore water. However extension of service life in RC structures can be obtained through simple surface protection. Unlike the conventional deterministic maintenance technique, probabilistic technique can consider a variation of service life but it deals with only normal distributions. In the work, life time-probability distributions considering not only normal but also log distributions are induced, and repair cost estimation technique is proposed based on the induced model. The proposed technique can evaluate the repair cost through probabilistic manner regardless of normal or log distribution from initial service life and extended service life with repair. When the extended service life through repair has log distribution, repair cost is effectively reduced. The more reasonable maintenance strategy can be set up though actual determination of life-probability distribution based on long term tests and field investigations.

Flexible Maintenance Scheduling of Generation System by Multi-Probabilistic Reliability Criterion in Korea Power System

  • Park, Jeong-Je;Choi, Jae-Seok;Baek, Ung-Ki;Cha, Jun-Min;Lee, Kwang-Y.
    • Journal of Electrical Engineering and Technology
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    • v.5 no.1
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    • pp.8-15
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    • 2010
  • A new technique using a search method which is based on fuzzy multi-criteria function is proposed for GMS(generator maintenance scheduling) in order to consider multi-objective function. Not only minimization of probabilistic production cost but also maximization of system reliability level are considered for fuzzy multi-criteria function. To obtain an optimal solution for generator maintenance scheduling under fuzzy environment, fuzzy multi-criteria relaxation method(fuzzy search method) is used. The practicality and effectiveness of the proposed approach are demonstrated by simulation studies for a real size power system model in Korea in 2010.

A Daily Scheduling of Generator Maintenance using Fuzzy Set Theory combined with Genetic Algorithm (퍼지 집합이론과 유전알고리즘을 이용한 일간 발전기 보수유지계획의 수립)

  • Oh, Tae-Gon;Choi, Jae-Seok;Baek, Ung-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.7
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    • pp.1314-1323
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    • 2011
  • The maintenance of generating units is implicitly related with power system reliability and has a tremendous bearing on the operation of the power system. A technique using a fuzzy search method which is based on fuzzy multi-criteria function has been proposed for GMS (generator maintenance scheduling) in order to consider multi-objective function. In this study, a new technique using combined fuzzy set theory and genetic algorithm(GA) is proposed for generator maintenance scheduling. The genetic algorithm(GA) is expected to make up for that fuzzy search method might search the local solution. The effectiveness of the proposed approach is demonstrated by the simulation results on a practical size test systems.

A Study on the Life Cycle Cost Analysis of Railroad Bridges (철도교량의 생애주기비용분석에 관한 연구)

  • Park Mi-Yun;Na Ok-Pin;Hwang Young-Min;Kim Dae-Young;Cho Hyo-Nam
    • Proceedings of the KSR Conference
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    • 2005.05a
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    • pp.574-580
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    • 2005
  • Recently, the number of bridges and tunnels in railway is increasing due to the super high-speedy of train. Also, because of successively accidents of civil structures such as bridges and dams, the importance of maintenance become influential. The purpose of this study is to show the probabilistic life cycle cost analysis technique(PLCC) of the railroad bridge as pubic-infrastructures, and reasonably to indicate the economy in life cycle cost(LCC) through a case study. Rationally for life cycle cost analysis, the data gathered through many materials considered the uncertainty such as covariance. As a result, it is indicated that prestressed concrete bridge is pretty more cost-effective during life-cycle than preflex as well as steel box bridge. In future, if the construction of database and maintenance materials for railroad infrastructure is actualized, the life cycle cost analysis for railroad can be conducted easily and practically.

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Probabilistic Neural Network for Prediction of Compressive Strength of Concrete (콘크리트 압축강도 추정을 위한 확률 신경망)

  • Kim, Doo-Kie;Lee, Jong-Jae;Chang, Seong-Kyu
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.8 no.2
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    • pp.159-167
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    • 2004
  • The compressive strength of concrete is a criterion to produce concrete. However, the tests on the compressive strength are complicated and time-consuming. More importantly, it is too late to make improvement even if the test result does not satisfy the required strength, since the test is usually performed at the 28th day after the placement of concrete at the construction site. Therefore, strength prediction before the placement of concrete is highly desirable. This study presents the probabilistic technique for predicting the compressive strength of concrete on the basis of concrete mix proportions. The estimation of the strength is based on the probabilistic neural network which is an effective tool for pattern classification problem and gives a probabilistic result, not a deterministic value. In this study, verifications for the applicability of the probabilistic neural networks were performed using the test results of concrete compressive strength. The estimated strengths are also compared with the results of the actual compression tests. It has been found that the present methods are very efficient and reasonable in predicting the compressive strength of concrete probabilistically.

Analysis Technique on Time-dependent PDF (Probability of Durability Failure) Considering Equivalent Surface Chloride Content (균등 표면 염화물량을 고려한 시간 의존적 내구적 파괴확률 해석기법)

  • Lee, Hack-Soo;Kwon, Seung-Jun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.21 no.2
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    • pp.46-52
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    • 2017
  • Recently durability design based on deterministic or probabilistic method has been attempted since service life evaluation in RC(Reinforced Concrete) structure exposed to chloride attack is important. The deterministic durability design contains a reasonable method with time effect on surface chloride content and diffusion coefficient, however the probabilistic design procedure has no consideration of time effect on both. In the paper, a technique on PDF(Probability of Durability Failure) evaluation is proposed considering time effect on diffusion and surface chloride content through equivalent surface chloride content which has same induced chloride content within a given period and cover depth. With varying period to built-up from 10 to 30 years and maximum surface chloride content from $5.0kg/m^3$ to $10.0kg/m^3$, the changing PDF and the related service life are derived. The proposed method can be reasonably applied to actual durability design with preventing conservative design parameters and considering the same analysis conditions of the deterministic method.

Probability-Based LCCO2 Evaluation for Undergroung Structture with Repairing Timings Exposed to Carbonation (탄산화에 노출된 지하구조물의 보수횟수에 따른 LCCO2 평가)

  • Kwon, Seung-Jun
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.5 no.3
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    • pp.239-246
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    • 2017
  • RC(Reinforced Concrete) structures can keep their performance during intended service life through initial service life and extension of the life through repairs. In the deterministic repairing method, cost and the related $CO_2$ emission increase with step-shaped escalation, however continuous results can be obtained through probabilistic repairing technique, and this is capable of reducing $CO_2$ emission through $CO_2$ absorption. In the work, repairing timing and $CO_2$ emission/absorption are evaluated based on the different methods like deterministic and probabilistic manner. The probabilistic technique considering $CO_2$ absorption with carbonation progress is evaluated to be very effective to reduction of $CO_2$ emission through extension of initial and additional service life due to repairs. When the variations of the service life from initial construction and repair material can be determined, the proposed technique can contribute to reduction of cost and $CO_2$ with decreasing repairing number.