Soft Computing Applications for Advancements in Power Systems (eBook, ePUB)
Redaktion: Sood, Vijay Kumar; Kumar, Anupam; Gupta, Om Hari; Murari, Krishna
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Soft Computing Applications for Advancements in Power Systems (eBook, ePUB)
Redaktion: Sood, Vijay Kumar; Kumar, Anupam; Gupta, Om Hari; Murari, Krishna
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This book discusses real applications of soft computing techniques, which have proven to be excellent tools to overcome the challenges faced in power systems and related areas.
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This book discusses real applications of soft computing techniques, which have proven to be excellent tools to overcome the challenges faced in power systems and related areas.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis
- Erscheinungstermin: 20. Dezember 2024
- Englisch
- ISBN-13: 9781040296967
- Artikelnr.: 72246659
- Verlag: Taylor & Francis
- Erscheinungstermin: 20. Dezember 2024
- Englisch
- ISBN-13: 9781040296967
- Artikelnr.: 72246659
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Vijay Sood received his Ph.D. degree from the University of Bradford, UK, in 1977. He is currently a Professor at Ontario Tech University, Canada. Previously, he was a senior researcher at the Research Institute of Hydro-Quebec (IREQ, Montreal). He has extensive experience in the simulation of HVDC-FACTS systems and their controllers. He has authored two textbooks on HVDC transmission. His research focuses on the monitoring, control, and protection of power systems and on the integration of renewable energy systems into smart grids. Dr. Sood is a Registered Professional Engineer in the province of Ontario, Canada. He is a Life Fellow of the IEEE, Fellow of the Engineering Institute of Canada, and Emeritus Fellow of the Canadian Academy of Engineering. He served previously as a Director of the IEEE Canadian Foundation and as a former Editor of the IEEE Transactions on Power Delivery, and Co-editor of the IEEE Canadian Journal of Electrical and Computer Engineering. He is currently the Editor-in-Chief of the Power series for River Publishers. Krishna Murari received the B.Tech degree in electrical engineering from WBUT, India, in 2010, the M.E degree in power systems from Thapar University, India in 2014, and the Ph.D. degree in electrical engineering from the Indian Institute of Technology Roorkee, India in 2019. He currently serves as a Research Assistant Professor in the Department of Electrical Engineering and Computer Science at The University of Toledo, Toledo, Ohio, USA. Prior to this, he worked as a Research Associate at Clarkson University, Potsdam, New York. He has also worked as a Postdoctoral Fellow with the Energy Production, and Infrastructure Center (EPIC), University of North Carolina at Charlotte, North Carolina, USA. He is the recipient of the third-best prize award from The Industrial Automation and Control Committee of the IEEE Industry Application Society for his research work presented at the IAS annual meeting 2021. He is a reviewer of journals, such as IEEE, IET, MDPI, and Taylor Francis journal. His research interests include power system analysis, power flow studies, demand-side management, optimization and control of DERs, optimal power flow, distribution network pricing, and smart grid. Om Hari Gupta received the M.Tech. degree in power electronics & ASIC design from Motilal Nehru National Institute of Technology, Allahabad, Prayagraj, Uttar Pradesh, India, in 2011 and the Ph.D. degree in electrical engineering from Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India, in 2017. He is an awardee of the Canadian Queen Elizabeth II Diamond Jubilee Scholarship for research visiting Canada and from March 2017 to June 2017, he was a visiting Researcher at the Ontario Tech University, Canada. Since 2018, Dr. Gupta is an Assistant Professor with the Department of Electrical Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. He is one of the founding organizing secretaries of the conference series ""Electric Power and Renewable Energy Conference - EPREC"". Dr. Gupta is the author/editor of five books and has more than 80 publications including one Indian Patent (Granted). He is a senior member of IEEE and a reviewer of many reputed journals like IEEE Transactions on Power Delivery, IET Generation and Transmission, Electric Power Systems Research, Electric Power Components and Systems, and International Journal of Electrical Power and Energy Systems. His research interests include power system protection, microgrid, renewable-based distributed generation, and electric power quality. Anupam Kumar currently serves as an Assistant Professor in the Department of Electronics and Communication Engineering (ECE), National Institute of Technology Patna, India, from Oct 2022. Prior, he was an Assistant Professor at IIIT Kota and IIIT Bhagalpur, India, from 2019-2022 and 2018-2019, respectively. His current research interests include Fuzzy logic systems, Robotics, Signal Processing, Robot Assistive device, Biomedical engineering, Health care application, Deep learning, Machine learning, etc. He received the M.Tech and Ph.D. degree from IIT Roorkee, India, in 2012 and 2018 in the ECE Department. He has published more than 14 SCI/Scopus journals, 13 conferences, 7 book chapter, 2 book chapters, 1 patent granted and 2 patent published. His current google scholar citation is more than 600. He is serving as reviewer in journals like IEEE Transactions, Elsevier, Springer, Taylor Francis journal and Wiley. He also served as a reviewer at many conferences. He is also a recipient of the best paper award at NIT Kurukshetra. He has attended several workshops and participated in many research activities.
1. Introduction 2. Soft Computing Techniques and Their Applications in
Power Systems 3. Load Flow Solution Algorithm for AC-DC Radial Distribution
Systems in the Presence of Distributed Generation 4. Load Flow Studies in a
Power System 5. Novel Hybrid Swarm Intelligence and Cuckoo Search Based
Microgrid EMS for Optimal Energy Scheduling 6. Topological Investigations
of Grid Integrated Renewable Energy Systems for Power Quality Improvement
7. HVDC System Issues and Related Solutions using Soft Computing 8. Smart
Grid: A Cyber-Physical Infrastructure and Security 9. Protection Challenges
During Power Swing and Soft Computing Solutions 10. Conclusion
Power Systems 3. Load Flow Solution Algorithm for AC-DC Radial Distribution
Systems in the Presence of Distributed Generation 4. Load Flow Studies in a
Power System 5. Novel Hybrid Swarm Intelligence and Cuckoo Search Based
Microgrid EMS for Optimal Energy Scheduling 6. Topological Investigations
of Grid Integrated Renewable Energy Systems for Power Quality Improvement
7. HVDC System Issues and Related Solutions using Soft Computing 8. Smart
Grid: A Cyber-Physical Infrastructure and Security 9. Protection Challenges
During Power Swing and Soft Computing Solutions 10. Conclusion
1. Introduction 2. Soft Computing Techniques and Their Applications in
Power Systems 3. Load Flow Solution Algorithm for AC-DC Radial Distribution
Systems in the Presence of Distributed Generation 4. Load Flow Studies in a
Power System 5. Novel Hybrid Swarm Intelligence and Cuckoo Search Based
Microgrid EMS for Optimal Energy Scheduling 6. Topological Investigations
of Grid Integrated Renewable Energy Systems for Power Quality Improvement
7. HVDC System Issues and Related Solutions using Soft Computing 8. Smart
Grid: A Cyber-Physical Infrastructure and Security 9. Protection Challenges
During Power Swing and Soft Computing Solutions 10. Conclusion
Power Systems 3. Load Flow Solution Algorithm for AC-DC Radial Distribution
Systems in the Presence of Distributed Generation 4. Load Flow Studies in a
Power System 5. Novel Hybrid Swarm Intelligence and Cuckoo Search Based
Microgrid EMS for Optimal Energy Scheduling 6. Topological Investigations
of Grid Integrated Renewable Energy Systems for Power Quality Improvement
7. HVDC System Issues and Related Solutions using Soft Computing 8. Smart
Grid: A Cyber-Physical Infrastructure and Security 9. Protection Challenges
During Power Swing and Soft Computing Solutions 10. Conclusion