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E-raamat: Adaptive Voltage Control in Power Systems: Modeling, Design and Applications

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Adaptive Voltage Control in Power Systems, a self-contained blend of theory and novel application, offers in-depth treatment of such adaptive control schemes. Coverage moves from power-system-modelling problems through illustrations of the main adaptive control systems, including 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.

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.
The Voltage Control Problem in Power Systems
1(10)
Introduction
1(1)
Power System Control
2(2)
Voltage Control in HV Transmission Systems
4(2)
Voltage Control in MV and LV Systems
6(5)
Voltage Control at Fundamental Frequency
7(1)
Voltage Harmonic Distortion Containment
8(3)
System Modeling for Nodal Voltage Regulator Design
11(16)
Introduction
11(2)
Voltage Control Device Models
13(7)
Synchronous Machines
13(3)
Static VAr Systems
16(3)
Active and Hybrid Shunt Filters
19(1)
Power System Equivalent Models
20(7)
Frequency Domain Models
22(1)
Time Domain Models
23(4)
Voltage and Current Phasor Identification
27(10)
Techniques Overview
27(2)
Off-line Methods
28(1)
On-line Methods
29(1)
Kalman Filtering
29(8)
State-space Modeling
29(1)
Estimation Algorithm
30(2)
Convergence and Stability Properties
32(5)
Self-tuning Voltage Regulators
37(50)
Introduction
37(1)
Indirect Self-tuning Voltage Regulator Design
38(25)
Recursive Least-squares Algorithm
39(3)
Pole-assignment Design
42(3)
Pole-shifting Design
45(3)
Generalized Minimum Variance Pole-assignment Design
48(6)
Numerical Simulations
54(9)
Direct Self-tuning Voltage Regulator Design
63(15)
Pole-assignment Design
63(9)
Generalized Minimum Variance Pole-assignment Design
72(2)
Numerical Simulations
74(4)
Properties of the Recursive Least-squares Algorithm
78(9)
Model-reference Adaptive Voltage Regulators
87(22)
Introduction
87(1)
Direct Model-reference Adaptive Voltage Regulator Design
88(9)
Model-reference Design
89(1)
Adaptive Law Design
90(4)
Numerical Simulations
94(3)
Indirect Model-reference Adaptive Voltage Regulator Design
97(2)
Properties of the Adaptive Law
99(10)
Convergence Analysis
99(3)
Robustness Analysis
102(7)
Adaptive Nonlinearities Compensation Technique
109(32)
Introduction
109(1)
Thevenin Circuit Parameters Estimation
110(4)
Adaptive Voltage Regulator Design
114(24)
Synchronous Machines
114(5)
Static VAr Systems
119(4)
Active and Hybrid Shunt Filters
123(5)
Numerical Simulations
128(10)
Optimization Strategy
138(3)
Computer Models and Topology of Networks
141(12)
High-voltage Network
141(9)
Computer Models of Components
141(6)
Simulated Network
147(1)
Network Equivalent Time Domain Model
148(2)
Industrial Network
150(3)
References 153(8)
Index 161


Giuseppe Fusco received the Laurea degree in Electrical Engineering from the University of Napoli. Currently he is Associate Professor of Automatic Control at the Faculty of Engineering of the University of Cassino, where from 1995 he was Assistant Professor. His research interests mainly deal with adaptive power systems control and mobile vehicles control. He has published more than 40 papers in international journals and conference proceedings. Prof. Fusco is a member of IEEE-CSS and of IFAC.



Mario Russo gained the Laurea degree (MSc) in Electrical Engineering at the University di Napoli, in 1988 he joined the R&D of the Robotics Division in COMAU. Since 1992 he has been Professor of Power Systems at the Faculty of Engineering of the University of Cassino, formerly as Assistant and then, from 1998, as Associate Professor. His research activity deals with analysis and control of power plants and power systems. He is co-author of more than 40 papers on international journals and conference proceedings and of a book on power plants (in press). Prof. Russo is a member of AEI (the Italian Institute of Electric and Electronic Engineers), of IEEE-PES and of IFAC (PP&PS Technical Committee).