Investigation of techniques to build generation system models for reliability evaluation /

against the real CPU times taken for two sample systems.

Bibliographic Details
Main Author: Gubbala, Nagalakshmi V., 1970-
Format: Thesis eBook
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 1994.
Subjects:
Online Access:Link to OAKTrust copy
Description
Summary:against the real CPU times taken for two sample systems.
build this model are investigated in this thesis. By using
build this model The reduction in the number of states
efficiency are studied using three sample systems.
Expectation (LOLE), Loss of Load Frequency (LOLF), Expected
For reliability evaluation of power systems, reliability
general expressions to obtain the number of computations
indices are computed. To compute these indices, Generation
involved in each method are derived and they are compared
is built to evaluate the cost of production of energy or for
literature, there are claims that Fast Fourier Transform
method is faster and more efficient than the conventional
method of rounding off the generation capacity states to
model from the load demand information are built, and these
production cost evaluation studies, generation system model
reduce the number of states in the generation system model
reliability indices. First this thesis, describes a new
results in fewer calculations involved in computing the
Second, the proposed method is compared with the Fast Fourier
single area, multi area or composite systems. Similarly in
states generated is large and this effects the time taken to
such as Loss of Load Probability (LOLP), Loss of Load
system expansion purposes. Since the formation of generation
System Model (GSM) from the generation system and the load
system model is basic to these studies, the techniques to
the conventional unit addition algorithm, the number of
Transform method in terms of computation time. Since in the
two models are convolved to calculate the reliability indices
unit addition algorithm, these claims are investigated. The
Unserved Energy (EUE). These indices can be computed for a
without sacrificing the accuracy. The accuracy and the
Item Description:"Major subject: Electrical Engineering".
Vita.
Physical Description:x, 73 leaves : illustrations ; 28 cm.
Also available online.
Bibliography:Includes bibliographical references.