Artificial intelligence based thermographic approach for high voltage substations risk assessment

Žarković, Mileta; Stojković, Zlatan

doi:10.1049/iet-gtd.2015.0076

Cited by 11 publications

(6 citation statements)

References 31 publications

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“…Fuzzy set does not have clear, standard, sharp boundaries. Fuzzy set (I) is a generalization of classical mathematical set (X), since the membership of the element to a fuzzy set can be characterized as a number in the interval from 0 to 1 [26][27][28]. The membership function (µ I (x)) of the fuzzy set maps each element of the universal set of the mentioned interval of real numbers: Each membership of a fuzzy set is connected to a linguistic fact.…”

Section: Fuzzy Logicmentioning

confidence: 99%

Fuzzy expert system for metal-oxide surge arrester condition monitoring

Dobrić

Žarković

2020

Electr Eng

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Metal-oxide surge arresters (MOSAs) play an important role in preventing outage situations and thus in preserving the reliability of electric power system. So far, many MOSA monitoring methods have been developed. These methods propose different indicators that are more or less reliable in MOSA monitoring and diagnostics. Another important aspect of these indicators is that each one of them can be determined with a certain estimation error. None of the indicators has been proved to be supreme. Nevertheless, under different conditions, the reliability of these indicators may vary. This paper presents an analysis methodology for reliability of MOSA indicators and proposes a fuzzy logic expert system that overcomes the problem of decision-making in the case when more than one indicator is available. The analysis and verification are done by computer simulations.

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Section: Fuzzy Logicmentioning

confidence: 99%

Fuzzy expert system for metal-oxide surge arrester condition monitoring

Dobrić

Žarković

2020

Electr Eng

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“…Static risk‐based security assessment involves risk identification [17–31] and assessment [32–66] as shown in Fig. 3.…”

Section: Static Risk‐based Security Assessmentmentioning

confidence: 99%

“…Other researchers also have published some related findings. In [29], a risk‐based probabilistic method is presented to assess transformer loading capability, taking into account of the probabilistic nature of time‐varying loads and ambient temperature. In [30], Bayesian time‐series models are used for modelling the weather conditions along the transmission lines.…”

Section: Risk Identificationmentioning

confidence: 99%

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Review of static risk‐based security assessment in power system

Bhuiyan¹,

Anders²,

Philhower

et al. 2019

IET cyber-phys. syst.

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“…A generalized concept of risk is the product of the probability and consequences of the contingency. Commonly, research on risk assessment of power systems expressed much concern about the disturbances that could potentially appear in normal operation processes, and mainly included aspects of the power grid's operational risks [12][13][14][15][16][17] and substation risks [18][19][20]. The power grid operational risk assessment, which gets more attention from scholars, focuses on the safe operation of power grids, including steady-state [12][13][14] and transient stability [15][16][17] security.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment for the Power Grid Dispatching Process Considering the Impact of Cyber Systems

et al. 2019

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Power grid dispatching is a high-risk process, and its execution depends on an available cyber system. However, the effects of cyber systems have not caught enough attention in current research on risk assessments in dispatching processes, which may cause optimistic risk results. In order to solve this problem, this paper proposes a risk assessment model that considers the impact of a cyber system on power grid dispatching processes. Firstly, a cyber-physical switchgear state model that integrates the reliability states of both cyber system functions and switchgears is proposed, based on the transition of switchgear states in the dispatching process. Then, the potential effects of each operating step on power grid states are analyzed considering the failure model of cyber-physical system (CPS) components. The risk probabilities and consequences of the power grid states are calculated to quantify the risk index. Finally, the workings and effectiveness of this model are illustrated using the IEEE Reliability Test System-1979.

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Artificial intelligence based thermographic approach for high voltage substations risk assessment

Cited by 11 publications

References 31 publications

Fuzzy expert system for metal-oxide surge arrester condition monitoring

Fuzzy expert system for metal-oxide surge arrester condition monitoring

Review of static risk‐based security assessment in power system

Risk Assessment for the Power Grid Dispatching Process Considering the Impact of Cyber Systems

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