Author: Almas Shintemirov
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659357862
Category :
Languages : en
Pages : 308
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Book Description
Being one of the most expensive and important elements, a power transformer is a highly essential element, whose failures and damage may cause the outage of a power system. In practice, transformer condition assessment is mainly conducted by experts or trained on-site engineers based on a number of diagnostic techniques. In recent years, computational intelligence techniques have been widely utilized for advancing power transformer condition assessment methods. This book presents a number of novel intelligent techniques and approaches to deal with power transformer winding distortion and deformation assessment problem based on frequency response analysis and incipient faults classification problem in oil-filled power transformers based on dissolved gas analysis. Both theoretical introduction to the subject and practical examples using experimental measurements and simulation results are given. This book will benefit anyone associated with power transformer modelling and conditional assessment. It will also be useful for those working on applying computational intelligence to solving parameter identification and decision making problems in technical systems.
Author: W.H. Tang
Publisher: Springer Science & Business Media
ISBN: 0857290525
Category : Technology & Engineering
Languages : en
Pages : 210
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Book Description
In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniques. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence applies a broad range of computational intelligence techniques to deal with practical transformer operation problems. The approaches introduced are presented in a concise and flowing manner, tackling complex transformer modelling problems and uncertainties occurring in transformer fault diagnosis. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence covers both the fundamental theories and the most up-to-date research in this rapidly changing field. Many examples have been included that use real-world measurements and realistic operating scenarios of power transformers to fully illustrate the use of computational intelligence techniques for a variety of transformer modelling and fault diagnosis problems. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence is a useful book for professional engineers and postgraduate students. It also provides a firm foundation for advanced undergraduate students in power engineering.
Author: Almas Shintemirov
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Wenhu Tang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Ahmed Abu-Siada
Publisher: Energy Engineering
ISBN: 1785612549
Category : Electric transformers
Languages : en
Pages : 325
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Book Description
This must-read book on power transformer monitoring will incorporate current power transformer condition monitoring techniques from principles to practice. Each chapter will cover the fundamentals and theory of the topic, convey techniques to measure relevant parameters, and assess or interpret the results. The book will include factory acceptance tests, receiving end pre-commissioning tests, and commissioning tests. It will also include the limitations and challenges, and approaches to overcome these limitations.
Author: Ziwei Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Issouf Fofana, Ph.D. ing. Chairholder
Publisher: MDPI
ISBN: 3038974412
Category :
Languages : en
Pages : 255
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Book Description
This book is a printed edition of the Special Issue "Power Transformer Diagnostics, Monitoring and Design Features" that was published in Energies
Author: Hongming Yang
Publisher: Springer Nature
ISBN: 3031317335
Category : Computers
Languages : en
Pages : 526
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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2022, held in Changsha, China, in December 10-12, 2022 The 44 full papers were selected from 116 submissions and focus on new challenges and opportunities of intelligent technologies in new energy systems.The papers are the papers are divided into the following areas: Simulation and analysis of the integrated energy system, disaster prevention & reduction for power grid, industry 4.0 applications, flexible planning and regulation techniques in smart grids, smart control and diagnose of distributed power system, and control and operation of UAV. These sessions aimed to address the new dimension that can gain insights into key challenges, understanding, and criteria of new technologies to develop and implement future industry-related services and applications.
Author:
Publisher:
ISBN:
Category :
Languages : de
Pages :
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Book Description
Author: Xin Ning
Publisher: Frontiers Media SA
ISBN: 2832539564
Category : Technology & Engineering
Languages : en
Pages : 273
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Book Description
Smart grid (SG) is considered a form of intelligent system that allows the electric grid to perform its functions efficiently. The SG is a network that allows for the flow of electrical energy and data, where the data is used to make intelligent decisions in the operation of the electric grid. Artificial intelligence (AI) techniques, such as expert system (ES), Machine Learning (ML), and deep Learning (DL) have brought an advancing frontier in power electronics and power engineering with their powerful data processing capabilities. The SG relies on the flow of data to make its intelligent control; therefore, AI technology is a perfect fit for the SG. The application of AI technology in the SG has the potential to improve the intelligence of the SG. This research topic is focused on ways of improving the data analysis and control of SG by leveraging technologies. Manuscripts with the progress made in solving a range of miscellaneous and critical problems in SG by leveraging AI methods such as ES, ML, and DL methods are welcome. Reviews and original research that describe the latest developments in this field are considered for publication in this research topic. The scope of this Research Topic will include the following themes, but are not limited to: 1. Data-driven and artificial intelligence approaches to enhancing flexibility and resilience of SG. 2. Expert system, Machine Learning and Deep Learning, reinforcement learning and transfer learning for applications in SG. 3. AI for development in ensuring high reliability and stability of electric power system with high penetration of renewable energy. 4. AI for studies in operation protection, integrated planning, and control of SG systems. 5. AI for development in diagnostics and diagnostics for SG. 6. Health monitoring of a modern wind generation system using an adaptive neuro-fuzzy system. 7. Space vector fault pattern identification of a smart grid subsystem by neural mapping. 8. Control techniques, mathematical programming methods, optimization techniques and metaheuristics applied in SG. 9. AI and optimization techniques for green energy and carbon footprint. 10. Novel applications of AI-based smart grids in smart cities, smart transportation, smart healthcare, and smart manufacturing.
