Multi-Converter System Modelling in Cost for Reliability Studies

Sandelić, Monika; Davoodi, Amirali; Sangwongwanich, Ariya; Peyghami, Saeed; Blaabjerg, Frede

doi:10.1109/compel52922.2021.9645998

Cited by 2 publications

(3 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fides approach takes into account failures that are derived from development or manufacturing errors and overstresses such as electrical, thermal, and mechanical. The methodology also deals with non-functioning phases such as dormant application and genuine storage [70]. The evaluation method of FIDES does not consider infant mortality and the wear-out periods of the components except for some special cases for some sub-assemblies [70].…”

Section: ) Random Failures Lifetime Predictionmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Lifetime Management of Power Electronic Converters

et al. 2022

View full text Add to dashboard Cite

An expected lifetime of converters is of great importance for optimal decision-making in the planning of modern Power Electronic (PE) systems. Hence, the lifetime management of power electronic systems has attracted a lot of attention in academia and industry. This paper is a guideline for managing the lifetime of power converters. Analyzing the different kinds of failures, failure modes and their corresponding mechanisms are investigated in the first section along with the failure data needed as input parameters of the assessment. In the second section, lifetime prediction in two aspects of component-level and system level is discussed and all the possible techniques to achieve them are investigated and compared. All the steps required to predict the lifetime in the component-level including electrothermal modeling, cycle counting, lifetime model, damage accumulation, parameter estimation, and lifetime distribution are described and then system level methods consisting of reliability block diagrams, fault-tree analysis, and Markov chains are examined and compared. The last section contains the roadmap of the lifetime extension including the reliable design and condition monitoring. INDEX TERMSReliability, Lifetime management, Lifetime analysis, Lifetime prediction, Lifetime extension, Empirical model, Physics of failure, failure mechanism FIGURE 1. Guideline of the reliability of power electronic systems.

show abstract

Section: ) Random Failures Lifetime Predictionmentioning

confidence: 99%

“…The methodology also deals with non-functioning phases such as dormant application and genuine storage [70]. The evaluation method of FIDES does not consider infant mortality and the wear-out periods of the components except for some special cases for some sub-assemblies [70].…”

Section: ) Random Failures Lifetime Predictionmentioning

confidence: 99%

An Overview of Lifetime Management of Power Electronic Converters

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The grid is made up of energy storage systems and renewable energy sources that work together smoothly. Diversifying [4] the energy mix not only makes the grid better able to handle changing energy sources, but it also sets the stage for a more sustainable energy mix. Because of this, resilient smart systems help to add green energy sources, which lowers the damage that making and using energy does to the earth.…”

Section: Introductionmentioning

confidence: 99%

Resilient Smart Grids: Enhancing Core Electrical Systems for Sustainable Energy

2024

Acta Energetica

View full text Add to dashboard Cite

Resilient Smart Grids are a big change in the way electrical systems work. They aim to make key structures stronger so that renewable energy can be used. This essay looks at the many aspects of improving electrical lines, focusing on resilience as a key factor in dealing with modern problems. Adding smart technologies is very important because it helps with being flexible and quick to respond to changing energy needs and unplanned problems. Adding advanced tracking, control, and communication technologies to standard grids turns them into smart grids, which are more reliable. These new technologies make it possible to analyze data in real time, which helps improve how energy is distributed and how it is used. AI and machine learning techniques help the grid predict, reduce, and recover from shocks, which makes sure that the energy supply is stable and efficient. Decentralized energy sources, like green energy and energy storage systems, are also easily merged. This makes it easier for the grid to handle changes and add more energy sources. Also, safety steps are very important for keeping smart grids safe from possible dangers. The paper goes into detail about how to build durable smart grids and stresses how important it is to have secure communication methods and strong infrastructure to protect against cyberattacks and keep important data safe and private. It is possible for energy environments to be sustainable with the help of adaptable smart grids that improve security, efficiency, and flexibility. In this paper, we look at the main developments, problems, and possible futures of resilient smart grids. We stress how important these grids will be in making future electricity systems more sustainable and able to adapt to changing energy environments. I.

show abstract

Multi-Converter System Modelling in Cost for Reliability Studies

Cited by 2 publications

References 30 publications

An Overview of Lifetime Management of Power Electronic Converters

An Overview of Lifetime Management of Power Electronic Converters

Resilient Smart Grids: Enhancing Core Electrical Systems for Sustainable Energy

Contact Info

Product

Resources

About