0 Mėgstami
0Krepšelis

Power Quality Monitor Placement Optimization: Genetic Algorithm and Mallows Cp (GACp Method)

57,42 
57,42 
2025-07-31 57.4200 InStock
Nemokamas pristatymas į paštomatus per 16-20 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

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.

Informacija

Autorius: Asadollah Kazemi, Azah Mohamed, Hussain Shareef,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2013
Knygos puslapių skaičius: 84
ISBN-10: 3659457353
ISBN-13: 9783659457357
Formatas: Knyga minkštu viršeliu
Kalba: Anglų
Žanras: Electricity, electromagnetism and magnetism

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Power Quality Monitor Placement Optimization: Genetic Algorithm and Mallows Cp (GACp Method)“

Būtina įvertinti prekę

Goodreads reviews for „Power Quality Monitor Placement Optimization: Genetic Algorithm and Mallows Cp (GACp Method)“