Nan Qin Qin Voltage Control in the Future Power Transmission Systems

Voltage Control in the Future Power Transmission Systems

von Nan Qin

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Beschreibung

This book reports on the formulation of a multi-stage optimization framework for the Danish power system, taking into account the real operational cost, the voltage constraints and the uncertainty associated to the forecasting errors of the wind power. It describes in detail the implementation of this framework into a simulation platform and its validation in real-world applications. The book especially focuses on automatic voltage control systems and on methods to handle uncertainty in them. All in all, it provides readers with a comprehensive overview of power system optimization and future trends in power system operation.

 


Nominated as an outstanding PhD thesis by Aalborg University, Denmark

Describes the implementation of a novel automatic voltage control system for wind power generation

Shows how to handle uncertainty in automatic voltage control systems in practice

Reports on a collaborative study between the University of Aalborg and Energinet


Nominated as an outstanding PhD thesis by Aalborg University, Denmark Describes the implementation of a novel automatic voltage control system for wind power generation Shows how to handle uncertainty in automatic voltage control systems in practice Reports on a collaborative study between the University of Aalborg and Energinet Includes supplementary material: sn.pub/extras

Autor*in

Nan Qin

Themen in »Voltage Control in the Future Power Transmission Systems«

Automatic Voltage Control Coordinated Voltage Control Multi-Stage Optimization Problems Multi-Stage Optimized Reactive Power Flow (MORPF) Monte Carlo Simulations Fallback Controller Danish Transmission Grid Wind Power Forecasting Errors Wind Power Uncertainty Wind Power Variability Wind Power Generation Load Flow Algorithm Danish AVC System Uncertainty in AVC Systems

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Details

ISBN: 9783319698861
Verlag: Springer International Publishing
Erscheinung: 10.11.2017

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