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This research monograph is in some sense a sequel to the author's
earlier one (Power System Stability, North Holland, New York 1981)
which devoted cons- erable attention to Lyapunov stability theory,
construction of Lyapunov fu- tions and vector Lyapunov functions as
applied to power systems. This field of research has rapidly grown
since 1981 and the more general concept of energy funct ion has
found wide spread application in power systems. There have been
advances in five distinct areas (i) Developing energy functions for
structure preserving models which can incorporate non-linear load
models (ii) Energy fu- tions to include detailed model of the
generating unit i. e. , the synchronous machine and the excitation
system (iii) Reduced order energy functions for large scale power
systems, the simplest being the single machine infinite bus system
(iv) Characterization of the stability boundary of the post-fault
stable eQui- brium point (v) Applications for large power networks
as a tool for dynamic security assessment. It was therefore felt
appropriate to capture the essential features of these advances and
put them in a somewhat cohesive framework. The chapters in the book
rough ly fo llow this sequence. It is interesting to note how
different research groups come to the same conclusion via different
reas- ings.
This research monograph is in some sense a sequel to the author's
earlier one (Power System Stability, North Holland, New York 1981)
which devoted cons- erable attention to Lyapunov stability theory,
construction of Lyapunov fu- tions and vector Lyapunov functions as
applied to power systems. This field of research has rapidly grown
since 1981 and the more general concept of energy funct ion has
found wide spread application in power systems. There have been
advances in five distinct areas (i) Developing energy functions for
structure preserving models which can incorporate non-linear load
models (ii) Energy fu- tions to include detailed model of the
generating unit i. e. , the synchronous machine and the excitation
system (iii) Reduced order energy functions for large scale power
systems, the simplest being the single machine infinite bus system
(iv) Characterization of the stability boundary of the post-fault
stable eQui- brium point (v) Applications for large power networks
as a tool for dynamic security assessment. It was therefore felt
appropriate to capture the essential features of these advances and
put them in a somewhat cohesive framework. The chapters in the book
rough ly fo llow this sequence. It is interesting to note how
different research groups come to the same conclusion via different
reas- ings.
SMALL SIGNAL ANALYSIS OF INTEGRATED POWER SYSTEMS is an essential
tool to discover possible low frequency oscillations which if
undamped may lead to major power failures. This book covers various
aspects of this phenomenon from modeling to techniques to control
them. The book covers low frequency in the 1-3 Hz range as well as
sub synchronous oscillations in the 10-50Hz range. Damping
techniques for both types of oscillations are discussed as well as
design of Power System stabilizers. Modeling and design of FACTS
devices in included. Selective computation of Eigenvalue(s) in a
large system is discussed. Wind power systems and its integration
into the existing grid is discussed along with small signal
analysis.
Power system oscillations without a big disturbance occur
spontaneously in a power system and if they are not damped out
properly may lead to grid failure. In this book we examine the
methodology to study this phenomenon from several angles. Modeling
the system to investigate these oscillations is given top priority
along with physical interpretation of the phenomenon. The book
covers low frequency 1-3 Hz as well as sub synchronous oscillations
in the 10-50 Hz range. The latter are called torsional
oscillations. Design of Power system stabilizers as well as damping
techniques for sub synchronous oscillations are discussed. Modeling
and design of FACTS devices is included. The small signal analysis
of multimachine systems along with the selective computation of
Eigen value(s) of interest in a large system is presented.
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