New features for MV switchgear are now available to move to condition based maintenance

Biasse, Jean-Marc; Ferraro, Venanzio; Brun, Philippe; Yang, Yong; Wang, Gang

doi:10.1109/cmd.2016.7757779

Cited by 3 publications

(4 citation statements)

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“…For example, most of the faults are current-based or detectable by monitoring the current. Therefore, a completely observable grid from the current perspective becomes a more reliable grid in which predictive maintenance and seasonal fault detection can be performed [20][21][22][23][24]. Another example concerns the PQ.…”

Section: Motivationmentioning

confidence: 99%

Low-Impact Current-Based Distributed Monitoring System for Medium Voltage Networks

2021

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Distribution networks are currently subject to a huge revolution in terms of assets being installed. In particular, the massive spread of renewable energy sources has drastically changed the way of approaching the grid. For example, renewables affected (i) the production of the legacy power plants, (ii) the quality of the supplied energy, decreasing it, (iii) the fault detection and location, etc. To mitigate the significant drawbacks of the renewables’ presence, several intelligent electronic devices have been (and are being) developed and installed among the grid. The aim is to increase grid monitoring and knowledge of its status. However, considering the significant number of nodes of the distribution network, compared to the transmission one, the process of installing new equipment is not effortless and is also quite expensive. This work aims at emphasizing a new concept of distributed monitoring systems, based on the phasor measurement unit’s current measurements, and a controlling algorithm to exploit it. The idea underneath the work is to avoid the out-of-service time needed and the costs associated with the installation of voltage sensors. Therefore, this paper describes an algorithm that exploits measurements from existing equipment and current measurements from PMUs to obtain information on the load and the node voltages. The algorithm is then tested on simulated power networks of increasing complexity and verified with an uncertainty evaluation. The results obtained from the simulation confirm the applicability and effectiveness of the algorithm and the benefits of a current-based monitoring system.

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Section: Motivationmentioning

confidence: 99%

Low-Impact Current-Based Distributed Monitoring System for Medium Voltage Networks

2021

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“…Apart from the presented fault-monitoring of switchgear, other sensing options could be introduced to detect and predict further faults [111]. For example, partial discharge may also be predicted by analyzing data from differential electric field sensors [112,113] or using the transient earth voltage method [114].…”

Section: Limitationsmentioning

confidence: 99%

“…For example, partial discharge may also be predicted by analyzing data from differential electric field sensors [112,113] or using the transient earth voltage method [114]. Overall, the selection of the right monitoring aspects strongly depends on the switchgear type and its intended application [111].…”

Section: Limitationsmentioning

confidence: 99%

Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions

Hoffmann¹,

Wildermuth²,

Gitzel³

et al. 2020

Sensors

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The development of renewable energies and smart mobility has profoundly impacted the future of the distribution grid. An increasing bidirectional energy flow stresses the assets of the distribution grid, especially medium voltage switchgear. This calls for improved maintenance strategies to prevent critical failures. Predictive maintenance, a maintenance strategy relying on current condition data of assets, serves as a guideline. Novel sensors covering thermal, mechanical, and partial discharge aspects of switchgear, enable continuous condition monitoring of some of the most critical assets of the distribution grid. Combined with machine learning algorithms, the demands put on the distribution grid by the energy and mobility revolutions can be handled. In this paper, we review the current state-of-the-art of all aspects of condition monitoring for medium voltage switchgear. Furthermore, we present an approach to develop a predictive maintenance system based on novel sensors and machine learning. We show how the existing medium voltage grid infrastructure can adapt these new needs on an economic scale.

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“…Literatürde güç sistemi bileşenlerine uygulanan bakım çalışmalarının önemi, kapsamı ve sağladığı faydalar ile ilgili çeşitli çalışmalar yer almaktadır. [4]'te elektrikesl ekipmanların planlanan kullanım ömürleri baz alınarak yaşlanma hızının hesaplanması, gelecek yatırım planlarının oluşturulması ve işletmecinin şebeke üzerindeki öngörüsünün arttırılarak enerji sürekliliğini ve güvenilirliği olumsuz etkileyecek olayların önüne geçilebilmesi amacıyla oluşturulan durum bazlı kestirimci bakım uygulamaları incelenmektedir. [5]'te bir yerel güç şebekesinde, şebekenin izlenmesi ve durum bazlı kestirimci bakım planlarının düzenlenmesine yönelik yol haritasının çıkarılması konusu incelenmiştir.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Investigation of Partial Discharge Monitoring Techniques for Maintenance Management in Medium Voltage Power Systems

Altin¹,

Çınar

Alboyacı

2022

Politeknik Dergisi

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Orta gerilim (OG) güç sistemleri elektrik enerjisinin son kullanıcıya güvenli ve sürekli şekilde temini için önemli role sahiptir. Bu bileşenlerde meydana gelen arızalar kısa veya uzun süreli enerji kesintilerine ve yüksek maliyetli kayıplara yol açmaktadır. Kestirimci bakım çalışmaları, arıza meydana gelmeden önce arıza belirtilerinin tespit edilmesini ve önlem alınmasını sağlaması sebebiyle güç sistemlerinde giderek daha fazla tercih edilmektedir. Bu çalışmada, arıza kök nedenlerinden biri olan kısmi deşarj olaylarının erken tespit edilmesi amacıyla orta gerilim güç sistemindeki uygulamaları özetlenmektedir. Bu doğrultuda, öncelikle kısmi deşarj olaylarının oluşum süreçleri açıklanmaktadır. Ardından, kısmi deşarj ölçüm yöntemleri güç sistemi bileşenlerine yönelik uygulama örnekleri ile açıklanmış ve bakım yönetimi süreçlerindeki önemi vurgulanmıştır. Elde edilen sonuçlar, orta gerilim şebeke bileşenlerindeki kısmi deşarj oluşumuna yönelik işaretlerin kestirimci bakım kapsamında izlenmesi sayesinde arızaların erken tespitinin ve yüksek maliyetli arızaların önüne geçilebilmesinin mümkün olduğunu göstermektedir.

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New features for MV switchgear are now available to move to condition based maintenance

Cited by 3 publications

References 0 publications

Low-Impact Current-Based Distributed Monitoring System for Medium Voltage Networks

Low-Impact Current-Based Distributed Monitoring System for Medium Voltage Networks

Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions

Investigation of Partial Discharge Monitoring Techniques for Maintenance Management in Medium Voltage Power Systems

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