Artificial Intelligence Techniques in Power Systems Operations and Analysis
eBook - ePub

Artificial Intelligence Techniques in Power Systems Operations and Analysis

  1. 224 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence Techniques in Power Systems Operations and Analysis

About this book

An electrical power system consists of a large number of generation, transmission, and distribution subsystems. It is a very large and complex system; hence, its installation and management are very difficult tasks. An electrical system is essentially a very large network with very large data sets. Handling these data sets can require much time to analyze and subsequently implement. An electrical system is necessary but also potentially very dangerous if not operated and controlled properly. The demand for electricity is ever increasing, so maintaining load demand without overloading the system poses challenges and difficulties.

Thus, planning, installing, operating, and controlling such a large system requires new technology. Artificial intelligence (AI) applications have many key features that can support a power system and handle overall power system operations. AI-based applications can manage the large data sets related to a power system. They can also help design power plants, model installation layouts, optimize load dispatch, and quickly respond to control apparatus. These applications and their techniques have been successful in many areas of power system engineering.

Artificial Intelligence Techniques in Power Systems Operations and Analysis focuses on the various challenges arising in power systems and how AI techniques help to overcome these challenges. It examines important areas of power system analysis and the implementation of AI-driven analysis techniques. The book helps academicians and researchers understand how AI can be used for more efficient operation. Multiple AI techniques and their application are explained. Also featured are relevant data sets and case studies.

Highlights include:

  • Power quality enhancement by PV-UPQC for non-linear load



  • Energy management of a nanogrid through flair of deep learning from IoT environments



  • Role of artificial intelligence and machine learning in power systems with fault detection and diagnosis



  • AC power optimization techniques



  • Artificial intelligence and machine learning techniques in power systems automation



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Yes, you can access Artificial Intelligence Techniques in Power Systems Operations and Analysis by Nagendra Singh, Sitendra Tamrakar, Arvind Mewada, Sanjeev Kumar Gupta, Nagendra Singh,Sitendra Tamrakar,Arvind Mewada,Sanjeev Kumar Gupta in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Technology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. List of Contributors
  8. 1 Faults Diagnosis Using AI and ML
  9. 2 Load Frequency Control for Multi-Area Power System Using PSO-Based Technique
  10. 3 Power Quality Enhancement by PV-UPQC for Non-Linear Load
  11. 4 A Hybrid Energy Management for Stand-Alone Microgrids Using Grey Wolf Optimization System
  12. 5 Energy Management of Nanogrid through Flair of Deep Learning from IoT Environments
  13. 6 An Elitism-Based SAMP-JAYA Algorithm for Optimal VA Loading of Unified Power Quality Conditioner
  14. 7 Applications of Artificial Intelligence
  15. 8 Role of Artificial Intelligence and Machine Learning in Power Systems with Fault Detection and Diagnosis
  16. 9 AC Power Optimization Technique
  17. 10 Data Transformation: A Preprocessing Stage in Machine Learning Regression Problems
  18. 11 Predicting Native Language with Machine Learning: An Automated Approach
  19. 12 Artificial Intelligence and Machine Learning Techniques in Power Systems Automation
  20. Index