A probabilistic reliability‐centred maintenance approach for electrical distribution networks

Ardabili, Habib Allah Ravaghi; Haghifam, Mahmoud‐Reza; Abedi, Seyyed Mostafa

doi:10.1049/gtd2.12081

Cited by 19 publications

(5 citation statements)

References 41 publications

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“…Blockchain is not designed to store bulky data such as produced in the IoT based systems. On the other hand, the reliability of the data generated by IoT, is among the main challenges in assimilating IoT technology with the blockchain [75,76]. Although, blockchain guarantees that data in the chain is immutable and may identify the transformations, data that has already entered the blockchain remains corrupt.…”

Section: E Storage and Data Reliability Issuesmentioning

confidence: 99%

WITHDRAWN: Implementation of Reliability Centered Maintenance (RCM) in the background of industry 4.0 –Issues, Challenges, and Opportunities

Mian

Yasir³

2023

Preprint

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Reliability Centered Maintenance (RCM) is a well-known maintenance method originated in the aviation sector. It has shown a huge success such that consequently this technique has been adapted in more industrial sectors. Currently, the system maintenance has become more extensive and complex task. As a result, the equipment structures and functions are continuously becoming more complicated and diverse, which ultimately makes determining their reliability much more challenging. In addition, traditional RCM techniques can no longer meet the new requirements, including real-time condition monitoring, health diagnosis, remote maintenance, and intelligent maintenance required in industry 4.0. This paper highlights the challenges, issues and difficulties in adopting RCM with industry 4.0. A conceptual model-based solution is put forward to provide solutions towards the identified challenges. The model-based solution includes effective and promising solutions by combining RCM technology with artificial intelligence, digital twins, internet of things, big data, and model-based reliability analysis technology to provide advanced real-time data based equipment management, including online health monitoring and intelligence fault diagnostics and remote maintenance. This study will provide a base for implementing RCM with Industry 4.0 to provide smart and intelligent maintenance of the equipment’s or assets.

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Section: E Storage and Data Reliability Issuesmentioning

confidence: 99%

WITHDRAWN: Implementation of Reliability Centered Maintenance (RCM) in the background of industry 4.0 –Issues, Challenges, and Opportunities

Mian

Yasir³

2023

Preprint

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“…The test system is depicted in Figure 4, and [31] comprises all system and component data, such as failure rates, and demand types. Furthermore, network characteristics are used from [32], and simulation data is supplied in [33][34], including the costs of customer interruption for different consumer types and electricity price of various loads. Furthermore, as shown in [27], the ESUs' initial state of charge is assumed.…”

Section: Test System and Resultsmentioning

confidence: 99%

Providing an optimal demand response program through placement of automatic switches and energy storage systems to improve the reliability of power distribution networks

Asadi

Abedi

Siahkali

2023

IET Generation Trans & Dist

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Creating highly reliable distribution networks is becoming increasingly vital in today's society. In a similar vein, utilities have issues in properly planning and developing distribution networks, both to reduce their imposed costs and to meet the demands of their consumers. In the presence of Demand Response Program (DRP), this research provides a coordinated architecture that considers automated switches and Energy Storage Units (ESUs) placement with the uncertainty of repair time to enhance the reliability of power distribution network. The suggested objective for optimal placement of automatic switches, ESUs and DRPs is to minimize a combination of reliability index (SAIDI) and Total Cost of system (TC). Customer interruption cost, energy not supplied cost, automated switch investment, ESU investment, ESU participation cost, and DRP cost are all considered as parts of the total cost. The proposed method is used in four different cases on a common reliability test system, followed by numerous sensitivity studies, in order to illustrate applicability and efficiency of suggested method.

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“…To prioritize network elements using a weighted index, first prioritize the feed lines of the sample distribution points and then determine the critical components of the sample feed for RCM measurements. Reference [9] introduced three-state Markov model (MM) given the life cycle cost of distribution system components in the presence of PM measures, which is more compatible than two-state MM. Furthermore, regarding three-state MM, the objective function is specified to identify the critical components of the system based on the budget constraints and interruption cost of the subscribers.…”

Section: Introductionmentioning

confidence: 99%

Long‐term and multi‐objective maintenance scheduling of medium voltage overhead lines based on LP metric method

Moghadam,

Bagheri,

Salemi

et al. 2024

IET Generation Trans & Dist

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Planning maintenance of medium voltage overhead lines is one of the most important issues in the studies on power distribution network, which will prevent and reduce unwanted interruption. In this paper, long‐term maintenance of medium voltage networks was planned by multi‐objective function, including an extended mixed‐integer linear model to optimize costs, energy not supplied (ENS), and average interruption duration index (SAIDI). In addition, the uncertainty about the annual growth rate of the load, the increase in the cost of goods and services and the increase in the selling price of energy as well as various constraints are all included in the desired objective function, which is one of the main innovations of this paper compared to other published studies. To apply the uncertainties, information gap decision theory (IGDT) has been used, and to solve the objective functions, LP‐Metric method has been used. The proposed method was implemented on the standard 11‐bus RBTS network by MATLAB and GAMS. The results showed that three different long‐term maintenance plans proposed here lead to the optimization of the annual maintenance costs of network, reduction in ENS and interruption, and increase in the reliability of the network based on the uncertainty of each feeder.

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A probabilistic reliability‐centred maintenance approach for electrical distribution networks

Cited by 19 publications

References 41 publications

WITHDRAWN: Implementation of Reliability Centered Maintenance (RCM) in the background of industry 4.0 –Issues, Challenges, and Opportunities

WITHDRAWN: Implementation of Reliability Centered Maintenance (RCM) in the background of industry 4.0 –Issues, Challenges, and Opportunities

Providing an optimal demand response program through placement of automatic switches and energy storage systems to improve the reliability of power distribution networks

Long‐term and multi‐objective maintenance scheduling of medium voltage overhead lines based on LP metric method

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