โ Scribed by Nagendra Singh, Sitendra Tamrakar, Arvind Mewada, Sanjeev Kumar Gupta
No coin nor oath required. For personal study only.
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
Cover
Half Title
Series
Title
Copyright
Contents
List of Contributors
1 Faults Diagnosis Using AI and ML
2 Load Frequency Control for Multi-Area Power System Using PSO-Based Technique
3 Power Quality Enhancement by PV-UPQC for Non-Linear Load
4 A Hybrid Energy Management for Stand-Alone Microgrids Using Grey Wolf Optimization System
5 Energy Management of Nanogrid through Flair of Deep Learning from IoT Environments
6 An Elitism-Based SAMP-JAYA Algorithm for Optimal VA Loading of Unified Power Quality Conditioner
7 Applications of Artificial Intelligence
8 Role of Artificial Intelligence and Machine Learning in Power Systems with Fault Detection and Diagnosis
9 AC Power Optimization Technique
10 Data Transformation: A Preprocessing Stage in Machine Learning Regression Problems
11 Predicting Native Language with Machine Learning: An Automated Approach
12 Artificial Intelligence and Machine Learning Techniques in Power Systems Automation
Index
๐ SIMILAR VOLUMES
Research in artificial intelligence has developed many techniques and methodologies that can be adapted or used directly to solve complex power system problems
<p><span>This book contains the latest scientific work of Ukrainian scientists and their colleagues from other countries of the world in three interrelated areas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applic
<P>With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of
This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in
<p><P>Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems. The focus of this book is to design a fu