الفهرس 
SURVEY OF PREVIOUS V/ORK ON THE DYNAMICS OF MU" ~ "TIMACHINE POWER SYSTEMSOnly 14 pages are availabe for public view
 |  | from | 204 |  |  |
| | | from | 204 | | |
Abstract
Steady-state stability studies of electric power
systems are usually carried out to study their dynamic
performanoe when subjected to small disturbances at
normal operating conditions, or when designing control
apparatus necessary for them. A well designed control
device is that securing not only stable operation of
the system but also a good quality of the control process.
At the present time, due to the complexity of the steady
state problem, it cannot be studied, even for very simple
power systems, without using digital computers. This
difficulty increases more and more as ~he number of
machines (or, in general, dynamic elements) operating in
the system increases. In such a case when interconnection
levels and mathematical models of a multimachine
power system are required to be represented in detail,
the steady state stability problem faces a considerable
difficulties related to both computer memory and compu-
tation time requirements. AS the complexity of system
under study increases, the corresponding volume of system
data to be handled increases in a much larger rate.
It has been shown, as a result of previous studies of
many other authoz-s, that conventional approaches for
handling systems with a large number of machines may fail in solving their steady-state-stability problems on
digital computers of moderate size. These works have
shown that even if it is possible to handle the probl~m
on moderate size computers, their use will be uneconomical
because of the.very large computation time require-
ments.
In this thesis a new approach for handling steadystate
stability problems of multimachine power systems
on digital computers is presented. It offers the possibility
of a large saving in both operating memory and
computation time requirements, and consequently it makes
possible the solution of the steady state stability problem
for systems having a large number of dynamic elements
modelled each in any required degree of detail. ~he
thesis consists of four ohapters and a list of references
followed by three appendices.