Giri Power Quality: Infrastructures and Control

Power Quality: Infrastructures and Control

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Beschreibung

This book presents novel idea and concepts developed by the researchers/academia and practicing engineers working in the domain of the power sector infrastructures where power electronics infrastructures are used for improving the system reliability and efficiency in on-grid and off-grid systems. The infrastructures of distributed power generation based on wind, solar, hydro and many other renewable energy sources have increased manifold since last decade due to availability of efficient power converters and small rating generators. The application of power electronics switching devices has made job much easier to make such system infrastructures more reliable and controllable. The power quality (PQ) issues in infrastructures of distributed power generation system are a major concern for customers. The custom power devices such as voltage source converter are used to mitigate the PQ and other issues such as voltage and frequency control under different loading conditions on the supply system. The operation of these custom power devices or other power converters is dependent on the duty cycles generated by control algorithm. The scope of control algorithm may be varying from model predictive control techniques, machine learning techniques to other artificial intelligence-based techniques. In addition to it, some classical control algorithm and adaptive-type control algorithm may also be used for power converter operation. This book creates awareness among teachers, research students and industry persons about better utilization of infrastructures of distributed power generation system by making it more efficient with the use of power electronics and its control.


This book presents novel idea and concepts developed by the researchers/academia and practicing engineers working in the domain of the power sector infrastructures where power electronics infrastructures are used for improving the system reliability and efficiency in on-grid and off-grid systems. The infrastructures of distributed power generation based on wind, solar, hydro and many other renewable energy sources have increased manifold since last decade due to availability of efficient power converters and small rating generators. The application of power electronics switching devices has made job much easier to make such system infrastructures more reliable and controllable. The power quality (PQ) issues in infrastructures of distributed power generation system are a major concern for customers. The custom power devices such as voltage source converter are used to mitigate the PQ and other issues such as voltage and frequency control under different loading conditions on the supply system. The operation of these custom power devices or other power converters is dependent on the duty cycles generated by control algorithm. The scope of control algorithm may be varying from model predictive control techniques, machine learning techniques to other artificial intelligence-based techniques. In addition to it, some classical control algorithm and adaptive-type control algorithm may also be used for power converter operation. This book creates awareness among teachers, research students and industry persons about better utilization of infrastructures of distributed power generation system by making it more efficient with the use of power electronics and its control.


Presents novel concepts in the domain of the power sector infrastructures Discusses classical control algorithm and adaptive-type control algorithm used for power converter operation Serves as a reference for young scholars, researchers, and industry professionals

Autor*in

Ashutosh K. Giri

Themen in »Power Quality: Infrastructures and Control«

Custom Power Devices Power Converters SEIG, DFIG, and PMSG Based Generation System Microgrids Electric Vehicle Charging and Discharging Access Probability Power Conversion SOC Probability

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Details

ISBN: 9789811979552
Verlag: Springer Singapore
Erscheinung: 22.01.2023

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