Intelligent Automatic Generation Control

Intelligent Automatic Generation Control
Author :
Publisher : CRC Press
Total Pages : 308
Release :
ISBN-13 : 9781439849545
ISBN-10 : 1439849544
Rating : 4/5 (44 Downloads)

Book Synopsis Intelligent Automatic Generation Control by : Hassan Bevrani

Download or read book Intelligent Automatic Generation Control written by Hassan Bevrani and published by CRC Press. This book was released on 2017-12-19 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several factors: the changing structure and increasing size, complexity, and functionality of power systems, the rapid emergence (and uncertainty) of renewable energy sources, developments in power generation/consumption technologies, and environmental constraints. Delving into the fundamentals of power system AGC, Intelligent Automatic Generation Control explores ways to make the infrastructures of tomorrow smarter and more flexible. These frameworks must be able to handle complex multi-objective regulation optimization problems, and they must be highly diversified in terms of policies, control strategies, and wide distribution in demand and supply sources—all via an intelligent scheme. The core of such intelligent systems should be based on efficient, adaptable algorithms, advanced information technology, and fast communication devices to ensure that the AGC systems can maintain generation-load balance following serious disturbances. This book addresses several new schemes using intelligent control techniques for simultaneous minimization of system frequency deviation and tie-line power changes, which is required for successful operation of interconnected power systems. It also concentrates on physical and engineering aspects and examines several developed control strategies using real-time simulations. This reference will prove useful for engineers and operators in power system planning and operation, as well as academic researchers and students in field of electrical engineering.


Intelligent Automatic Generation Control Related Books

Intelligent Automatic Generation Control
Language: en
Pages: 308
Authors: Hassan Bevrani
Categories: Technology & Engineering
Type: BOOK - Published: 2017-12-19 - Publisher: CRC Press

DOWNLOAD EBOOK

Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance c
Artificial Intelligence in Industrial Decision Making, Control and Automation
Language: en
Pages: 778
Authors: S.G. Tzafestas
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The
Applications of Computing, Automation and Wireless Systems in Electrical Engineering
Language: en
Pages: 1260
Authors: Sukumar Mishra
Categories: Technology & Engineering
Type: BOOK - Published: 2019-05-31 - Publisher: Springer

DOWNLOAD EBOOK

This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy
Computational Intelligence in Pattern Recognition
Language: en
Pages: 1023
Authors: Asit Kumar Das
Categories: Technology & Engineering
Type: BOOK - Published: 2019-08-17 - Publisher: Springer

DOWNLOAD EBOOK

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clust
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Language: en
Pages: 418
Authors: Krishna Kumar
Categories: Technology & Engineering
Type: BOOK - Published: 2022-03-18 - Publisher: Academic Press

DOWNLOAD EBOOK

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including