Identifying harmonic attributes from online partial discharge data

Partial discharge (PD) monitoring is a key method of tracking fault progression and degradation of insulation systems. Recent research discovered that the harmonic regime experienced by the plant also affects the PD pattern, questioning the conclusions about equipment health drawn from PD data. This paper presents the design and creation of an online system for harmonic circumstance monitoring of distribution cables, using only PD data. Based on machine learning techniques, the system can assess the prevalence of the 5th and 7th harmonic orders over the monitoring period. This information is key for asset managers to draw correct conclusions about the remaining life of polymeric cable insulation, and prevent overestimation of the degradation trend

Assessing the effects of power quality on partial discharge behaviour through machine learning

Partial discharge (PD) is commonly used as an indicator of insulation health in high voltage equipment, but research has indicated that power quality, particularly harmonics, can strongly influence the discharge behaviour and the corresponding pattern observed. Unacknowledged variation in harmonics of the excitation voltage waveform can influence the insulation's degradation, leading to possible misinterpretation of diagnostic data and erroneous estimates of the insulation's ageing state, thus resulting in inappropriate asset management decisions. This paper reports on a suite of classifiers for identifying pertinent harmonic attributes from PD data, and presents results of techniques for improving their accuracy. Aspects of PD field monitoring are used to design a practical system for on-line monitoring of voltage harmonics. This system yields a report on the harmonics experienced during the monitoring period

Interpretation of partial discharge activity in the presence of harmonics

Recent work has identified that circumstances of equipment operation can radically change condition monitoring data. This contribution investigates the significance of considering circumstance monitoring on the diagnostic interpretation of such condition monitoring data. Electrical treeing partial discharge data have been subjected to a data mining investigation, providing a platform for classification of harmonic influenced partial discharge patterns. The Total Harmonic Distortion (THD) index was varied to a maximum of 40%. The results show progressive development for interpretation of condition monitoring data, improving the asset manager's holistic view of an asset's health

The role of circumstance monitoring on the diagnostic interpretation of condition monitoring data

Circumstance monitoring, a recently coined termed defines the collection of data reflecting the real network working environment of in-service equipment. This ideally complete data set should reflect the elements of the electrical, mechanical, thermal, chemical and environmental stress factors present on the network. This must be distinguished from condition monitoring, which is the collection of data reflecting the status of in-service equipment. This contribution investigates the significance of considering circumstance monitoring on diagnostic interpretation of condition monitoring data. Electrical treeing partial discharge activity from various harmonic polluted waveforms have been recorded and subjected to a series of machine learning techniques. The outcome provides a platform for improved interpretation of the harmonic influenced partial discharge patterns. The main conclusion of this exercise suggests that any diagnostic interpretation is dependent on the immunity of condition monitoring measurements to the stress factors influencing the operational conditions. This enables the asset manager to have an improved holistic view of an asset's health

A framework linking nowledge of insulation aging to asset management

The multifactor framework developed here provides a template for asset managers, plant managers, and those involved in the area of network performance and material reliability to assess the available knowledge of the condition of any insulation system. In order to realize maximum potential of this framework, mathematical modeling must be integrated using all existing models, tools, and techniques for assessing insulation systems at the level of aging processes. This is no simple task as the scope is extremely wide and deep, spanning all insulation systems and all modes of failure under a myriad of environmental operating conditions. A key use of the framework is to openly identify what is not known, and so identify uncertainties for further evaluation. The framework allows for stochastic modeling of the working environment, including stress factors such as electrical, thermal, mechanical, environmental, chemical, and thermal. More importantly, the framework establishes links between the physics and chemistry of insulation degradation and asset management. Such a tool can complement and improve asset management strategies and provide a platform for future dielectric research. One key issue is the need to identify "end-points", or critical limits of material conditions after which aging leads to rapid failure. It is considered that understanding and identifying changes to dominant aging processes during equipment's life are critical to improved asset management. © 2008 IEEE

3 Goodness-of-Fit Probabilistic Models for EV Charging in Caribbean Small Island States

Kleine Inselstaaten gehören zu den Gebieten, die am stärksten vom Meeresspiegelanstieg betroffenen sind. Eine nachhaltige Verkehrsentwicklung ist daher für eine Transformation zu mehr Resilienz entscheidend. Die besonderen räumlichen Gegebenheiten, die Insellage, die geografische Abgeschiedenheit, die geringe Bevölkerungszahl und die kleinen Volkswirtschaften der Inselstaaten führen jedoch zu hohen Transportkosten und einer Abhängigkeit vom Auto. Das Buch löst sich von der herkömmlichen Fokussierung auf städtische Gebiete im Globalen Norden und dem Tourismus. Es bietet eine andere Perspektive auf nachhaltigen Verkehr, Reisen und Pendeln in der Karibik und in Europa. Die Autorinnen und Autoren liefern forschungsbasierte Erkenntnisse, zeigen den Stand der Technik und zukünftige Ansätze für politische Entscheidungsträger:innen, Wissenschaftler:innen und Praktizierende auf. Fachübergreifend bietet das Buch einen innovativen Ausblick.Small island states are one of the most affected areas by sea-level rise, and sustainable transport development is crucial to their transition towards resiliency. However, their special spatial situations, insularity, geographic remoteness, small populations, and small economies resulted in high transport costs and car dependencies. The book moves away from the conventional focus on urban areas in the Global North and tourism. It gives a different perspective on sustainable transport, travelling, and commuting in the Caribbean and Europe. The authors provide research-based insights and show the state-of-the-art and future approaches for policy-makers, academics, and practitioners. Even beyond small island state research, the book offers an innovative outlook

Contributors

Kleine Inselstaaten gehören zu den Gebieten, die am stärksten vom Meeresspiegelanstieg betroffenen sind. Eine nachhaltige Verkehrsentwicklung ist daher für eine Transformation zu mehr Resilienz entscheidend. Die besonderen räumlichen Gegebenheiten, die Insellage, die geografische Abgeschiedenheit, die geringe Bevölkerungszahl und die kleinen Volkswirtschaften der Inselstaaten führen jedoch zu hohen Transportkosten und einer Abhängigkeit vom Auto. Das Buch löst sich von der herkömmlichen Fokussierung auf städtische Gebiete im Globalen Norden und dem Tourismus. Es bietet eine andere Perspektive auf nachhaltigen Verkehr, Reisen und Pendeln in der Karibik und in Europa. Die Autorinnen und Autoren liefern forschungsbasierte Erkenntnisse, zeigen den Stand der Technik und zukünftige Ansätze für politische Entscheidungsträger:innen, Wissenschaftler:innen und Praktizierende auf. Fachübergreifend bietet das Buch einen innovativen Ausblick.Small island states are one of the most affected areas by sea-level rise, and sustainable transport development is crucial to their transition towards resiliency. However, their special spatial situations, insularity, geographic remoteness, small populations, and small economies resulted in high transport costs and car dependencies. The book moves away from the conventional focus on urban areas in the Global North and tourism. It gives a different perspective on sustainable transport, travelling, and commuting in the Caribbean and Europe. The authors provide research-based insights and show the state-of-the-art and future approaches for policy-makers, academics, and practitioners. Even beyond small island state research, the book offers an innovative outlook

Towards Sustainable Transport and Mobility

Kleine Inselstaaten gehören zu den Gebieten, die am stärksten vom Meeresspiegelanstieg betroffenen sind. Eine nachhaltige Verkehrsentwicklung ist daher für eine Transformation zu mehr Resilienz entscheidend. Die besonderen räumlichen Gegebenheiten, die Insellage, die geografische Abgeschiedenheit, die geringe Bevölkerungszahl und die kleinen Volkswirtschaften der Inselstaaten führen jedoch zu hohen Transportkosten und einer Abhängigkeit vom Auto. Das Buch löst sich von der herkömmlichen Fokussierung auf städtische Gebiete im Globalen Norden und dem Tourismus. Es bietet eine andere Perspektive auf nachhaltigen Verkehr, Reisen und Pendeln in der Karibik und in Europa. Die Autorinnen und Autoren liefern forschungsbasierte Erkenntnisse, zeigen den Stand der Technik und zukünftige Ansätze für politische Entscheidungsträger:innen, Wissenschaftler:innen und Praktizierende auf. Fachübergreifend bietet das Buch einen innovativen Ausblick.Small island states are one of the most affected areas by sea-level rise, and sustainable transport development is crucial to their transition towards resiliency. However, their special spatial situations, insularity, geographic remoteness, small populations, and small economies resulted in high transport costs and car dependencies. The book moves away from the conventional focus on urban areas in the Global North and tourism. It gives a different perspective on sustainable transport, travelling, and commuting in the Caribbean and Europe. The authors provide research-based insights and show the state-of-the-art and future approaches for policy-makers, academics, and practitioners. Even beyond small island state research, the book offers an innovative outlook