Data Mining Applications to Power System Voltage Security Assessment: Real Time Fast Voltage Security Assessment Using Fuzzy Decision Trees

Paunikar, Sonali; Patidar, Narayan Prasad

ISBN 10: 6206146553 / ISBN 13: 9786206146551

Published by LAP LAMBERT Academic Publishing, 2023

About this Item

Seller Inventory # 26397360075

Bibliographic Details

• Title: Data Mining Applications to Power System Voltage Security Assessment: Real Time Fast Voltage Security Assessment Using Fuzzy Decision Trees
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2023
• Language: English
• ISBN 10: 6206146553
• ISBN 13: 9786206146551
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Voltage security assessment is an integral part of the modern Energy Management System. The traditional methods of contingency selection based on approximate or full AC load flow are either inaccurate or time consuming. To overcome these difficulties, development of fast, accurate and transparent voltage security assessment tools is required, so that in real-time, potentially dangerous operating conditions can be identified quickly and necessary corrective actions can be initiated within the given time frame of interest. Machine learning is a broad area of artificial intelligence, which is concerned with design and development of algorithms and techniques that allow computers to learn. Data mining is one of the branches of machine learning which uses past data for prediction of future results. In this book, data mining tools like fuzzy decision trees and case-based reasoning (CBR) is discussed in detail for application to voltage security assessment in power systems.