A Fuzzy-Based Failure Modes and Effects Analysis (FMEA) in Smart Grids

Zúñiga, Andrés A.; Fernandes, João; Branco, P. J. Costa

doi:10.1007/978-3-030-11890-7_49

“…Results show that it is necessary to replace the most of equipment, especially transformers and transmission lines; the analysis also allowed to identify the critical components that must be taken into account to improve the maintenance plans. More recently, authors showed in [24] an FMEA analysis for a smart grid framework. A comparison with a modified FMEA that combines the classical FMEA with a fuzzy inference system was studied to improve the prioritization of failure modes.…”

Section: Fmea Applications In Electrical Power Equipment: a Brief Ovementioning

confidence: 99%

“…FMEA can also help to identify the preventive actions oriented to mitigate specific failure modes occurrences, like the PMU based monitoring system applied in HV transformers [23]. In addition, artificial intelligence-based FMEA can improve the failure modes prioritization according to its criticality and other criteria [24].…”

Section: Introductionmentioning

confidence: 99%

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Zúñiga

¹

,

Baleia

²

,

Fernandes

³

et al. 2020

Self Cite

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Reliability assessment in traditional power distribution systems has played a key role in power system planning, design, and operation. Recently, new information and communication technologies have been introduced in power systems automation and asset management, making the distribution network even more complex. In order to achieve efficient energy management, the distribution grid has to adopt a new configuration and operational conditions that are changing the paradigm of the actual electrical system. Therefore, the emergence of the cyber-physical systems concept to face future energetic needs requires alternative approaches for evaluating the reliability of modern distribution systems, especially in the smart grids environment. In this paper, a reliability approach that makes use of failure modes of power and cyber network main components is proposed to evaluate risk analysis in smart electrical distribution systems. We introduce the application of Failure Modes and Effects Analysis (FMEA) method in future smart grid systems in order to establish the impact of different failure modes on their performance. A smart grid test system is defined and failure modes and their effects for both power and the cyber components are presented. Preventive maintenance tasks are proposed and systematized to minimize the impact of high-risk failures and increase reliability.

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“…Results show that it is necessary to replace the most of equipment, especially transformers and transmission lines; the analysis also allowed to identify the critical components that must be taken into account to improve the maintenance plans. More recently, authors showed in [25] an FMEA analysis for a smart grid framework. A comparison with a modified FMEA that combines the classical FMEA with a fuzzy inference system was studied to improve the prioritization of failure modes.…”

Section: Fmea Applications In Electrical Power Equipment: a Brief Ovementioning

confidence: 99%

“…FMEA can also help to identify the preventive actions oriented to mitigate specific failure modes occurrences, like the PMU based monitoring system applied in HV transformers [24]. In addition, artificial intelligence-based FMEA can improve the failure modes prioritization according to its criticality and other criteria [25].…”

Section: Introductionmentioning

confidence: 99%

“…Risk factors OCC, SEV, and DET are divided into categories. In the classical FMEA, each of these categories is rated by an integer number, usually on a scale from 1 to 10 as in [18], or 1 to 5 as used in [25]). Of course, the categories and ratings for S, O, and D can be the same as those proposed in standards related to classical FMEA like IEC 60812:2006 [20] or specially defined depending on the problem characteristics.…”

mentioning

confidence: 99%

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Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Zúñiga¹,

Baleia²,

Fernandes³

et al. 2020

Preprint

Self Cite

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0

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Reliability assessment in traditional power distribution systems has played a key role in power system planning, design, and operation. Recently, new information and communication technologies have been introduced in power systems automation and asset management, making the distribution network even more complex. In order to achieve efficient energy management, the distribution grid has to adopt a new configuration and operational conditions that are changing the paradigm of the actual electrical system. Therefore, the emergence of the cyber-physical systems concept to face future energetic needs requires alternative approaches for evaluating the reliability of modern distribution systems, especially in the smart grids environment. In this paper, a reliability approach that makes use of failure modes of power and cyber network main components is proposed to evaluate risk analysis in smart electrical distribution systems. We introduce the application of Failure Modes and Effects Analysis (FMEA) method in future smart grid systems in order to establish the impact of different failure modes on their performance. A smart grid test system is defined and failure modes and their effects for both power and the cyber components are presented. Preventive maintenance tasks are proposed and systematized to minimize the impact of high-risk failures and increase reliability.

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Development of a risk assessment methodology for intelligent technology of diagnosing industrial equipment for complex oil and gas facilities

Samigulina,

Samigulina

2023

Procedia Computer Science

0

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A Fuzzy-Based Failure Modes and Effects Analysis (FMEA) in Smart Grids

Cited by 5 publications

References 5 publications

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems

Development of a risk assessment methodology for intelligent technology of diagnosing industrial equipment for complex oil and gas facilities

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