Evaluation of Operational Risk in Power Substations and Its Rational Reduction on the Basis of Multicriteria Allocating Resources

Maia, Willian; Ekel, Petr; Vieira, D.A.G.; Castro, Eduardo Antonio de; Oliveira, Mateus Alberto Dorna de; Reis, Igor Marques; Santos, Kenedy Marconi Geraldo dos

doi:10.1109/access.2021.3124529

Cited by 6 publications

(6 citation statements)

References 58 publications

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“…We also detect the location information and personal physical status of power personnel with the help of wearable devices. In this section, method two is specified [32,33]. Due to the instability of substation data, key data are often missing during fault diagnosis, leading to obstruction or even stagnation of fault analysis.…”

Section: E Data Sharing and Fusion Diagnosticsmentioning

confidence: 99%

Analysis of Substation Joint Safety Control System and Model Based on Multi-Source Heterogeneous Data Fusion

2023

IEEE Access

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As the number of substations continues to increase globally and the market demand continues to rise, the current workload of maintenance and daily operation of substations in power grids cannot meet the current demand if only relying on manual work, and the design and implementation of intelligent safety control solutions for substations is imperative. Therefore, this paper proposes a joint safety control system and model analysis for substations based on multi-source heterogeneous data fusion. Firstly, a threedimensional visualization substation efficient interactive operation platform is realized, which realizes the functions of substation scene roaming, system login, information management, equipment parameters, status viewing and operation ticket pushing; after that, a variety of intelligent hardware devices for data collection, such as multi-dimensional terminal sensors, intelligent wearable devices, intelligent pre-built positioning installation measure rod, and substation intelligent inspection robots are designed to greatly improve the substation inspection efficiency and realize real-time monitoring and data interaction in the inspection process. Finally, we propose an Attention-LSTM-based prediction model for substation multidimensional data, which can predict power equipment spatio-temporal data in the short term, and the prediction results can be combined with intelligent devices for joint diagnosis. The Attention-LSTM prediction model is well-trained in transformer oil temperature experiments, and the experimental results show that this model can provide early warning for the abnormal state of substation power equipment. In summary, this thesis describes a set of complete and practically feasible intelligent safety control methods for substations. The joint safety control system and model analysis of the substation based on multi-source heterogeneous data fusion designed in this paper is mainly oriented to the substation as an electric power workplace, which has quite a vast application prospect for energy equipment.

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Section: E Data Sharing and Fusion Diagnosticsmentioning

confidence: 99%

Analysis of Substation Joint Safety Control System and Model Based on Multi-Source Heterogeneous Data Fusion

2023

IEEE Access

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“…improved the quality of operational risk estimation for power stations and increased efficiency in reducing it using multiple Criteria Decision Making models and methods [42]. Zhimeng and Jiazheng in 2021 analyzed the relationship between delay factors in ship maintenance and resource allocation using system dynamics theory.…”

Section: 4riskmentioning

confidence: 99%

A risk-return based mathematical model for resource allocation with considering the process resilience and continuity

Ebrahimi-Sadrabadi,

Ostadi,

Husseinzadeh Kashan

et al. 2023

Scientia Iranica

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In recent high-risk and changing world, optimal resource allocation is significant, which in case of inappropriate resource allocation, will cause significant damage to organizations. In resource allocation and where there is a lack of resources, it is imperative to processes continue and the process's resilience and the risks posed by these lack and unsuitable allocations. If resource allocation is not done properly or is done in short supply, there will be consequences, e.g. processes do not continue properly or are not resilient, or the will be increase in the risks of the processes. In this paper, a novel integrated mathematical model has been developed for resource allocation with considering the process resilience and continuity. Thus, the objective functions of the model is defined according to the four measures of optimal resource allocation such as return, risk, resilience and process continuity. One of the results of the 2 integrated model is that in case of lack of resources, resources can be allocated with the highest return and minimum risk, and in case of critical conditions and lack of resources, their processes and activities do not stop.

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“…Furthermore, there is research on operational risk analysis that concentrates on operational risk for business process management using the COSO framework which aims to assess operational risk by measuring risk factors in each activity, and for the whole process [9]. In contrast to previous research, the problem of this research is how high the level of risk is in the manpower (driver)?, and the purpose of this study is to apply risk management and conduct risk analysis in the Pos network business, in particular the operational risk analysis [10] on the Manpower (driver) component by taking into account the root causes and causes as well as looking at several potential risks and causes of risks. The output of this study will provide recommendations that are interpreted as a risk mitigation effort for PT.…”

Section: Introductionmentioning

confidence: 99%

Operational Risk Analysis for Manpower (Driver) on Postal Network

2023

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PT. Indonesian logistics posts have cooperation in the postal network field, namely cooperation in sending goods or shipments at a certain time, a certain amount from one point to another in accordance with a warrant from the partner. Components of the postal network include Manpower, vehicles, postal operational control, and operational costs. This study aims to examine the problems and roots of problems that cause risk potential for the risk of postal network components, especially in the manpower component (driver), and know how high the impact of the risk. The research method used in this study is qualitative and semi-quantitative methods by conducting case studies. Data collection was carried out by interview/FGD, and the distribution of questionnaires. The results showed that the risk of manpower is at high and very high levels. The results of the study will provide recommendations to the manpower component (driver) in the form of risk mitigation and can be used by companies in managing operational risk on postal networks, especially in the manpower component (driver). Keywords: manpower; operational risk; postal network; risk mitigation. Abstrak: PT. Pos Logistik Indonesia memiliki kerjasama dalam bidang Jaringan Postal, yaitu kerjasama dalam mengirimkan barang atau kiriman pada waktu tertentu, jumlah tertentu dari satu titik ke titik lain sesuai dengan surat perintah dari mitra. Komponen pada jaringan Postal meliputi: Man Power, Kendaraan, Pengendalian Operasional Postal, dan Biaya Operasional. Penelitian ini bertujuan untuk mengkaji permasalahan dan akar masalah yang menimbulkan potensi kejadian risiko pada komponen Jaringan Postal khususnya pada komponen manpower (driver) dan mengetahui seberapa tinggi dampak risikonya. Metode penelitian yang digunakan dalam penelitian ini adalah metode kualitatif dan semi kuantitatif dengan melakukan studi kasus. Pengumpulan data dilakukan dengan cara wawancara/FGD, dan penyebaran kuesioner. Hasil penelitian menunjukan bahwa risiko pada manpower berada pada level high dan very high. Hasil penelitian akan memberikan rekomendasi terhadap komponen manpower (driver) berupa mitigasi risiko dan dapat digunakan perusahaan dalam pengelolaan risiko operasional pada jaringan Postal khususnya pada komponen manpower (driver). Kata kunci: jaringan postal; manpower; mitigasi risiko; risiko operasional.

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Evaluation of Operational Risk in Power Substations and Its Rational Reduction on the Basis of Multicriteria Allocating Resources

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 6 publications

References 58 publications

Analysis of Substation Joint Safety Control System and Model Based on Multi-Source Heterogeneous Data Fusion

Analysis of Substation Joint Safety Control System and Model Based on Multi-Source Heterogeneous Data Fusion

A risk-return based mathematical model for resource allocation with considering the process resilience and continuity

Operational Risk Analysis for Manpower (Driver) on Postal Network

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