A literature survey on asset management in electrical power [transmission and distribution] system

Khuntia, Swasti R.; Rueda, José L.; Bouwman, S.; Meijden, Mart A. M. M. van der

doi:10.1002/etep.2193

Cited by 65 publications

(26 citation statements)

References 68 publications

(96 reference statements)

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“…One study provides the ISO 55000 asset management standard, and another study defines the content and guidelines for asset management practices. Different categories of the asset management in power systems and its connection to RCM principles are discussed in Khuntia et al Nieto et al have analyzed the asset management in different timescales in Latin America based on the ISO 55000 standards in electrical distribution systems. This paper is mainly focused on the mid‐term asset management providing a general framework for RCM implementation in microgrids.…”

Section: Asset Management and Reliability‐centered Maintenance Princimentioning

confidence: 99%

A mathematical framework for reliability-centered maintenance in microgrids

Moradi

Vahidinasab

Kia

et al. 2018

Int Trans Electr Energ Syst

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Summary In this paper, the central principles of reliability‐centered maintenance (RCM) and corresponding mathematical concepts for its implementation in microgrids are discussed. A systematic framework is suggested that exploits the fundamentals of multiattribute decision making to (i) evaluate the important features and failure attributes and (ii) effectively identify the microgrid critical components with their failure rates dynamically assessed at various time intervals. Lagrange multipliers of a budget‐constrained optimization formulation are suggested to be used to determine the desired values of system reliability indicators. The failure rates of critical components are efficiently determined over time through an exponential model that is empirically obtained via extracted condition scores of critical failure causes at multiple inspection times. A time‐varying benefit‐to‐cost ratio mechanism is designed via which the useful lifetime of critical components and the system economic benefits increase through timely maintenance in microgrids where an improved reliability performance can be realized. Finally, the proposed model is implemented in a real‐world scenario on a microgrid that is a part of the Tehran power distribution network. Extensive numerical results demonstrate the applicability and effectiveness of the suggested RCM model in microgrids.

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Section: Asset Management and Reliability‐centered Maintenance Princimentioning

confidence: 99%

A mathematical framework for reliability-centered maintenance in microgrids

Moradi

Vahidinasab

Kia

et al. 2018

Int Trans Electr Energ Syst

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“…Such indices are usually calculated based on historical data and probabilistic method. Various computational models and optimization techniques have been developed for maintenance, refurbishment, ageing, and monitoring techniques in asset management, like state diagram [5], fuzzy technique [6]- [8], ANN [9], PSO [10], linear programming, and optimization techniques [11].…”

Section: Distribution System Reliability Indicesmentioning

confidence: 99%

Evaluation of Distribution System Reliability Indices Using Fuzzy Reasoning Approach

Paci

Bualoti

Çelo

2021

EJECE

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The most fundamental problems in the distribution system are the quality, the continuity, and the power supply. Political and economic changes were accompanied by changes in the structure of the electric load in the distribution network. Lack of investment and aging of the distribution company assets was accompanied by a decrease in the reliability of the distribution system. Identification and classification of assets from the point of view of their maintenance and replacement was one of the problems that were posed to the engineers. Fuzzy logic can be successfully used to evaluate distribution system reliability indices. In this paper fuzzy logic is used to evaluate the distribution system reliability indices of lines and transformers using six input variables. These variables considered the most important are: Age, Operation, Maintenance, Electrical current loading, Exposure and Weather conditions (Wind or Temperature). The fuzzy inferences knowledge-based IF-THEN rule is developed using Matlab Fuzzy software. The detailed analysis of the fuzzy system surfaces shows that the factors taken in consideration are dynamically and accurately connected to each other. The constructed rules based in engineering experience accurately represent the Reliability Indices.

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“…Economic problems have forced electric utility providers to provide better quality electricity under lower operating and maintenance costs. Therefore, the effective and efficient use of transmission assets is of prime concern to gain maximum benefits, whereas maintenance costs should be reduced [1][2][3][4][5][6][7][8]. Currently, some high voltage (HV) transmission lines in Thailand are very old and deteriorated.…”

Section: Introduction To Fmecamentioning

confidence: 99%

Risk Analysis Using Failure Modes, Effects, and Criticality Analysis for Transmission Network Assets

et al. 2021

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In this paper, we apply the Failure Modes, Effects, and Criticality Analysis (FMECA) approach to the criticality and risk analysis of the efficiency, safety/reliability, environment, and financial criteria of the high voltage transmission line. In the efficiency analysis, the weighting-scoring method and analytical hierarchy process are applied to obtain the line renovation index, which is interpreted as efficiency severity. The safety/reliability severity relates to the system impacts are caused by failure of the equipment and the system. The environmental severity takes social impacts and pollution into consideration. The financial severity involves the cost of spare parts and maintenance costs, which are interpreted as the financial severity of the lines. Twenty practical transmission lines in Thailand with actual data for 115, 230, and 500 kV were studied. The transmission line components are divided into eight components including the conductor, conductor accessories, insulator, steel structure, foundation, lightning protection system, tower accessories, and right-of-way. The severity and criticality of the components and transmission lines are analyzed and plotted in criticality matrices based on four criteria. This criticality matrix is presented at four different levels including very low, low, medium, and high risk, as represented by four color bands: green, yellow, orange, and red, respectively. The results show that three 115 kV lines are the first priority for short-term reconstruction planning because of their unacceptable condition and high risk in terms of safety/reliability and financing. Recommendations for maintenance strategy and risk mitigation are proposed for the utility according to the utility’s actual criticality. Ultimately, maintenance planning of the transmission system can be effectively managed with higher reliability, a lower risk of failure, and a lower cost of maintenance.

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A literature survey on asset management in electrical power [transmission and distribution] system

Cited by 65 publications

References 68 publications

A mathematical framework for reliability-centered maintenance in microgrids

A mathematical framework for reliability-centered maintenance in microgrids

Evaluation of Distribution System Reliability Indices Using Fuzzy Reasoning Approach

Risk Analysis Using Failure Modes, Effects, and Criticality Analysis for Transmission Network Assets

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