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