Adaptive Voltage Control in Power Systems Adaptive Voltage Control in Power Systems
Advances in Industrial Control

Adaptive Voltage Control in Power Systems

Modeling, Design and Applications

    • £109.99
    • £109.99

Publisher Description

Power quality is a pressing concern in electric power systems. One of the main requirements of power quality management is the guarantee of a sinusoidal voltage waveform with adequate amplitude at each node of the network. The fulfilment of such a control objective is facilitated by adaptive systems which can account for unpredictable fluctuations in operating conditions.

Adaptive Voltage Control in Power Systems, a self-contained blend of theory and novel application, is an in-depth treatment of such adaptive control schemes. The reader moves from power-system-modelling problems through illustrations of the main adaptive control systems (self-tuning, model-reference and nonlinearities compensation) to a detailed description of design methods: Kalman filtering, parameter-identification algorithms and discrete-time controller design are all represented. Case studies address applications issues in the implementation of adaptive voltage control.

Practicing engineers and researchers in power systems and control engineering will find this monograph, written by representatives of each field, to be a valuable synthesis of both while its accessible style will also appeal to graduate students.


Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

GENRE
Professional & Technical
RELEASED
2006
28 October
LANGUAGE
EN
English
LENGTH
177
Pages
PUBLISHER
Springer London
SIZE
11.8
MB
Understanding Reproduction Understanding Reproduction
2023
The Biology of Reproduction The Biology of Reproduction
2019
Arthropod Biology and Evolution Arthropod Biology and Evolution
2013
Model-Based Control of Mass–Stiffness–Damping Systems Model-Based Control of Mass–Stiffness–Damping Systems
2025
Optimal Iterative Learning Control Optimal Iterative Learning Control
2025
Control Systems Benchmarks Control Systems Benchmarks
2025
Multicopter Flight Control Multicopter Flight Control
2025
Optimization of Electric-Vehicle Charging Optimization of Electric-Vehicle Charging
2024
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games
2024