Power Quality Monitor Placement Optimization - Genetic Algorithm and Mallow's Cp (GACp Method)

This book consists of five chapters, which is the current chapter, briefly introduces the background, problem statement and objectives of book subject. Chapter II describes concepts of power quality monitoring and PQM placement methods are discussed and reviewed. Chapter III presents a new algorithm for optimal PQM placement based on genetic algorithm (GA) and the Mallow's Cp that, it is named as the GACp method. In the GACp method, the concepts of the multivariable regression (MVR) theory, the Mallow's Cp, GA, observability and redundancy are applied to determine the appropriate locations for installing the PQMs. Chapter IV presents the results of PQM placement for the IEEE 9, 30 and 69 Bus test systems. In chapter V, the major achievements of the book are summarized.

About the author

Asadollah Kazemi received his B.Sc. from Tabriz University- Iran in 1990, MSc. from Tehran- Iran in 1998, and Ph.D from UKM University- Malaysia in 2013. He currently is a lecturer at the Power Electrical Department, Kavosh Institute- Iran. His current research interests are Power Quality, Reactive Power Control and Renewable Energy.

Product details

• Authors: Asadolla Kazemi, Asadollah Kazemi, Aza Mohamed, Azah Mohamed, Hussain Shareef
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 01.01.2018
• EAN: 9783659457357
• ISBN: 978-3-659-45735-7
• No. of pages: 84
• Subject: Natural sciences, medicine, IT, technology > Physics, astronomy > Electricity, magnetism, optics