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singh nagendra (curatore); tamrakar sitendra (curatore); mewada arvind (curatore); gupta sanjeev kumar (curatore) - artificial intelligence techniques in power systems operations and analysis

Artificial Intelligence Techniques in Power Systems Operations and Analysis

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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 08/2023
Edizione: 1° edizione





Note Editore

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




Sommario

List of Contributors 1 Faults Diagnosis Using AI and ML HAMEED KHAN, KAMAL KUMAR KUSHWAH, PRADEEP KUMAR JHINGE, GIREESH GAURAV SONI, RAVI KANT CHOUBEY, AND RUPESH KUSHWAH 2 Load Frequency Control for Multi-Area Power System Using PSO-Based Technique SIDDHARTH SHUKLA, AMIT GUPTA, AND RUCHI PANDEY 3 Power Quality Enhancement by PV-UPQC for Non-Linear Load EKNATH BORKAR AND NAGENDRA SINGH 4 A Hybrid Energy Management for Stand-Alone Microgrids Using Grey Wolf Optimization System SIDDHARTH SHUKLA AND AMIT GUPTA 5 Energy Management of Nanogrid through Flair of Deep Learning from IoT Environments VANDANA SONDHIYA, KAUSTUBH DWIVEDI, SHEKH KULSUM ALMAS, AND NAGENDRA SINGH 6 An Elitism-Based SAMP-JAYA Algorithm for Optimal VA Loading of Unified Power Quality Conditioner SWATI GADE AND RAHUL AGRAWAL 7 Applications of Artificial Intelligence ANUPRITA MISHRA AND ANITA SONI 8 Role of Artificial Intelligence and Machine Learning in Power Systems with Fault Detection and Diagnosis ANJALI NIGHOSKAR, SHIVANI GAUTAM, AND KAMINI LAMBA 9 AC Power Optimization Technique ANITA SONI AND ANUPRITA MISHRA 10 Data Transformation: A Preprocessing Stage in Machine Learning Regression Problems AKSHAY JADHAV, DEVASHISH DHAULAKHANDI, SHISHIR KUMAR SHANDILYA, LOKESH MALVIYA, AND ARVIND MEWADA 11 Predicting Native Language with Machine Learning: An Automated Approach DASANGAM VENKAT NIKHIL, RUPESH KUMAR DEWANG, BUVANEISH SUNDAR, AYUSH AGRAWAL, ANANTA NARAYAN SHRESTHA, AKASH TIWARI, AND ARVIND MEWADA 12 Artificial Intelligence and Machine Learning Techniques in Power Systems Automation AMAR NAYAK AND RACHANA KAMBLE Index




Autore

Dr. Nagendra Singh is an associate professor in the department of Electrical Engineering at Trinity College of Engineering and Technology, Karimanagar, India. Dr. Sitendra Tamrakar is an associate professor in the department of computer science and engineering at Nalla Malla Reddy Engineering College, Hyderabad, India. Arvind Mewara has worked as associate professor in the department of Computer Engineering at Technocrats Institute of Technology, Bhopal, India. Presently he is a full time Ph.D. scholar at Motilal Nehru National Institute of Technology, Allahabad, India. Dr. Sanjeev Kumar Gupta is a professor and dean at the Rabindranath Tagore University, Bhopal.










Altre Informazioni

ISBN:

9781032294865

Condizione: Nuovo
Collana: Advances in Computational Collective Intelligence
Dimensioni: 9.25 x 6.25 in Ø 1.30 lb
Formato: Copertina rigida
Illustration Notes:99 b/w images and 99 line drawings
Pagine Arabe: 224
Pagine Romane: x


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