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Full Description
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.
Contents
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. Application of Machine Learning Techniques in Modern
Hybrid Power Systems - A Case Study. 5. The Role of Fibre Optics in Power System Protection. 6. Optimizing Thermal Power Plant Performance: A Comprehensive Energy Audit. 7. Application of AI in Fault Detection and Grid Optimization. 8. Agricultural Sustainability and the Use of Renewable Energy Sources. 9. A Protection Scheme Based on SVM-kNN for Pole-to-Ground and Pole-to-Pole Fault Detection in DC Microgrid. 10. Calculation Methodology and Seasonality Coefficients in Determining Power Supply for Rural Consumers. 11. Application of Advanced Sensors for Monitoring in Power System Device. 12. Navigating Demand-Side Management in Electrical Power Systems: A Comprehensive Guide to Energy Efficiency and Grid Stability. 13. Exploring the Synergy of Artificial Intelligence for Integrated Smart Energy Systems in Electric Vehicles. 14. Voting Ensemble-Based Machine Learning Models for Early Detection of Power System Faults. 15. Solar PV Array Integrated UPQC for Power Quality Enhancement. 16. Sustainability and Renewable Energy Integration. 17. Current and Voltage Asymmetry in 0.4 KV Power Grids and Technical Means to Reduce Them. 18. Energy Management Systems Using Artificial Intelligence: Future Trends, Challenges and Solutions. 19. Replacement of Network Charging Stations for Autonomic Stations for the Needs of Agricultural Machinery.
