Power System Management

Power System Management demonstrates the effectiveness of emerging technologies in electrical systems compared to traditional operational systems. It showcases different operations of the electrical systems, presents the output results based on the latest techniques, and compares the results with classical methods. - Highlights how to implement the modern automation system in the electrical transmission, and distribution systems - Discusses the integration of distributed energy resources at both medium voltage (MV) and low voltage (LV) levels with modern automation systems - Showcases the problems associated with the AC transmission system and the required automation control system - Covers application of smart technologies including deep learning and artificial intelligence in fault detection, and grid optimization - Presents real-time monitoring and control of power system devices using the Internet of Things systems, and artificial intelligence-operated robotics system used for control of electrical distribution system The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer science, and engineering.

Nagendra Singh is presently working as the Principal of Trinity College of Engineering and Technology, Telangana, India. His areas of interest are optimization techniques, artificial intelligence, power systems, renewable energy systems, power electronics, smart antennas, and blockchain technology. He has published research articles in reputed refereed SCI and Scopus-indexed journals and conferences. He has been granted 14 design patents. Yogendra Kumar is working as a professor, in the Department of Electrical Engineering, at the Maulana Azad National Institute of Technology, Bhopal, India. He has a specialization in power systems. He has sixty-three research papers in reputed SCI, SCIE, and Scopus journals. His areas of interest are power systems, optimization techniques, artificial intelligence, and renewable energy systems. Yogesh Pahariya is currently working as a vice chancellor, at Rai Technology University, Bangalore India. He has published more than fifty research papers in national and international journals and conferences. He holds a Ph.D. from RGPV, Bhopal, He has guided numerous Ph.D. and PG theses, and holds eight patents, He is a fellow member of the Institution of Engineers (India), Kolkata, and Indian Society of Light Engineers, New Delhi (ISLE), a life member of the Indian Society for Technical Education (ISTE), New Delhi, a senior member of International Association of Computer Science and Information Technology (IACSIT), Singapore, and a member of International Association of Engineers, Hong Kong. His research areas are electrical drives, energy auditing, energy management, and power electronics. Vadim Bolshev gained experience in the industry as an electrician, an electrical engineer, and a chief engineer from 2010-18, and since 2018, he has been working as a researcher. Between 2021-2024 he headed the Laboratory of Intelligent Agricultural Machines and Complexes at Don State Technical University, Russia and currently he is a senior researcher of the Laboratory of Power Supply and Renewables with Federal Scientific Agroengineering Center VIM, Moscow, Russia Harsh Pratap Singh is currently working as an assistant professor, in the Department of Computer Science and Engineering, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, Madhya Pradesh, India. In addition to his academic career, he is a board member of various international journals and worked as a session chair in several conferences. He has published approximately fifty research articles in national and international journals and book chapters.

1. Economic Load Dispatch by the Heuristic Optimization Techniques. 2. Design of Electrically Safe Physical Model of 0.4 kV Electric Network. 3. Hybrid BPSO-GTO Algorithm to Control Stochastic Energy Management System under Diverse Load Conditions. 4. The Role of Fibre Optics in Power System Protection. 5. Optimizing Thermal Power Plant Performance: A Comprehensive Energy Audit. 6. Application of AI in Fault Detection and Grid Optimization. 7. Agricultural Sustainability and the Use of Renewable Energy Sources. 8. A Protection Scheme Based on SVM-kNN for Pole-to-Ground and Pole-to-Pole Fault Detection in DC Microgrid. 9. Calculation Methodology and Seasonality Coefficients in Determining Power Supply for Rural Consumers. 10. Application of Advanced Sensors for Monitoring in Power System Device. 11. Navigating Demand-Side Management in Electrical Power Systems: A Comprehensive Guide to Energy Efficiency and Grid Stability. 12. Exploring the Synergy of Artificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles. 13. Voting Ensemble-Based Machine Learning Models for Early Detection of Power System Faults. 14. Solar PV Array Integrated UPQC for Power Quality Enhancement. 15. Sustainability and Renewable Energy Integration. 16. Current and Voltage Asymmetry in 0.4 KV Power Grids and Technical Means to Reduce Them. 17. Energy Management Systems Using Artificial Intelligence: Future Trends, Challenges and Solutions. 18. Replacement of Network Charging Stations for Autonomic Stations for the Needs of Agricultural Machinery.