Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance [Kietas viršelis]

"Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance explains how fault analysis can be used to estimate the reliability of the product; ensuring that the product is reliable is an important step to avoid any failure or issues in the future. Failure mechanisms are a critical aspect of determining the reliability of the power system, dealing with the physical, chemical, and electrical processes through which the failure occurs in the system. Based on the type of failure process, these failure mechanisms can be modelled when appropriate material and environmental information are available. Moreover, with the advancements in machine learning approaches, the failure data along with the modelled mechanisms can be used to identify the operating state of the power system. With advancements in machine learning approaches, the authors look at how failure data can be used to identify how power systems are operating, helping to perform risk analysis, estimating the product's reliability, and reducing the likelihood of a failure. Aimed at industry workers and researchers, the book explains how to apply different approaches to fault detection, including signal and image processing approaches, and discusses the impact of faults in grid connected photovoltaic systems. With contributions from experts within the field, this book is a welcome addition to the literature and presents updated technology and approaches throughout."--

A thorough and authoritative discussion of how to use fault analysis to prevent grid failures

In Fault Analysis and its Impact on Grid-Connected Photovoltaic Systems Performance, a team of distinguished engineers delivers an insightful and concise analysis of how engineers can use fault analysis to estimate and ensure reliability in grid-connected photovoltaic systems. The editors explore how failure data can be used to identify how power electronics-based power systems operate and how they can help to perform risk analysis and reduce the likelihood and frequency of failure.

The book explains how to apply different fault detection techniques—including signal and image processing, fault tolerant approaches—and explores the impact of faults in grid-connected photovoltaic systems. It offers contributions from noted experts in the field and is fully updated to include the latest technologies and approaches. Readers will also find:

• A failure mode effect classification approach for distributed generation systems and their components
• Explanations of advanced machine learning approaches with significant market potential and real-world relevance
• A consideration of the issues pertaining to the integration of power electronics converters with distributed generation systems in grid-connected environments
• Treatments of IoT-based monitoring, ageing detection for capacitors, image and signal processing approaches, and standards for failure modes and criticality analyses

Perfect for manufacturers and engineers working in the power electronics-based power system and smart grid sectors, Fault Analysis and its Impact on Grid-Connected Photovoltaic Systems Performance will also earn a place in the libraries of distributed generation companies facing issues in operation and maintenance.