No description available.

No description available.

Reliability is a key aspect of power system design and planning. In this research we present a reliability analysis algorithm for large scale, radially operated (with respect to substation), reconfigurable, electrical distribution systems. The algorithm takes into account equipment power handling constraints and converges in a matter of seconds on systems containing thousands of components. Linked lists of segments are employed in obtaining the rapid convergence. A power flow calculation is used to check the power handling constraints. The application of distributed generators for electrical distribution systems is a new technology. The placement of distributed generation and its effects on reliability is investigated. Previous reliability calculations have been performed for static load models and inherently make the assumption that system reliability is independent of load. The study presented here evaluates improvement in reliability over a time varying load curve. Reliability indices for load points and the overall system have been developed. A new reliability index is proposed. The new index makes it easier to locate areas where reliability needs to be improved. The usefulness of this new index is demonstrated with numerical examples. / Master of Science

The objectives of this project are to show the feasibility of micro-hydropower and to provide adequate engineering data for those people who wish to design their own micro system. Nine case studies are reviewed and analyzed in an attempt to determine general design parameters. Comparative data for these studies comes from preliminary permit applications submitted to the Federal Energy Regulatory Commission. Information on such topics as flow measurements, heads, generators and turbine technology are presented. Duration curves are explained with examples using data from a river found in Colombia, South America. Finally, a preliminary design of a micro-hydro facility is calculated for implementation on a stream that is part of the Tennessee River Basin.

Several pseudorandom number generators are described and compared on the basis of cost of generation and length of period of the sequences that are produced. The major statistical tests, which are used to obtain a measure of randomness for the different generators are discussed and compared. Four pseudorandom number generators are programmed in GPSS and are used to generate interarrival and service times for an M/M/1 queuing system. The results of each of the trials are compared to the theoretical results which can be obtained from queuing theory.

Random numbers are a basic part in a Simulation Model, and they are also used in random sampling. These techniques are employed by quality engineers in the successful execution of their jobs. The every-day use of random numbers, however, often leads to a sense of complacency in he mind of engineers toward the exacting requirements that should be satisfied by the random number process to generate a genuine random number. Microcomputers have become a common and powerful tool that helps managers and engineers in their simulation experiments by providing sequences of random numbers. This research presents a sequence of eight tests to test the Radio Shack microcomputer system random number generator for uniformity and randomness; then, this Radio Shack random number generator is used to generate uniform and non-uniform deviates and a non-parametric test is performed to test these deviates for randomness. Two computer programs written in the BASIC language are used to test for randomness. The first one to test the Radio Shack random number generator and the second one to test the uniform and non-uniform deviates.

Fiber optic temperature sensors are excellent candidates for monitoring the temperature along the stator windings of a large electric power generator. Unlike thermocouple thermometers, they are immune to the effects of strong magnetic fields which are present in all power generators. Several different point and line sensors have been evaluated in their ability to resolve temperature and temperature distribution (respectively), as well as their compatibility with the generator environment. The sensor must function inside the generator for long periods of time (up to 25 years) without benefit of recalibration. This constraint has required us to devise methods by which the sensor may remain permanently calibrated. In almost all cases, it is necessary to measure a natural characteristic of a device which is temperature sensitive in order to achieve permanent calibration. This will enable the device to function despite the varying characteristics of the source and detector equipment.

The continuous improvement in the speed of digital components in conjunction with reduction of size has brought about a revolutionary age of microprocessors. Mathematical functions, which at one time could only be implemented by complex analog circuitry, can now be easily implemented via microprocessors and high density digital components. Principles of random number generation must be understood in order to implement pseudo-random algorithms in a digital random frequency generator (DRFG) design. Chapter 1 is a discussion of several types of random number algorithms which have been used in the past and outlines the deficiencies and advantages associated with each individual algorithm. In particular, problems such a cycling and maximum period deficiency are discussed. The discussions in Chapter 1 lead to the selection of a random number algorithm which can be used in a DRFG design. There are other characteristics which should be observed in the evaluation of acceptable random number algorithms. In Chapter 2 three tests are described which can be applied in order to test the algorithm for the well-known uniformity and independence criteria. These tests are implemented in a Fortran program which is used to evaluated the algorithm selected in Chapter 1. The random number generator evaluation program (RNGEP) listing is presented in Appendix B. The results of the tests applied to the DRFG random number algorithm are presented in Appendix C.

In this paper, for a select group of quadratic algebras, we investigate restrictions necessary on the generators of the ideal for the resulting algebra to be Koszul. Techniques include the use of Gröbner bases and development of Koszul resolutions. When the quadratic algebra is Koszul, we provide the associated linear resolution of the field. When not Koszul, we describe the maps of the resolution up to the instance of nonlinearity. / Ph. D.

Design and analysis of a system consisting of a variable-speed synchronous generator that supplies an active dc load (inverter) through a three-phase diode rectifier requires adequate modeling in both time and frequency domain. In particular, the system's control-loops, responsible for stability and proper impedance matching between generator and load, are difficult to design without an accurate small-signal model. A particularity of the described system is strong non-ideal operation of the diode rectifier, a consequence of the large value of generator's synchronous impedance. This non-ideal behavior influences both steady state and transient performance. This thesis presents a new, average model of the system. The average model accounts, in a detailed manner, for dynamics of generator and load, and for effects of the non-ideal operation of diode rectifier. The model is non-linear, but time continuous, and can be used for large- and small-signal analysis. The developed model was verified on a 150 kW generator set with inverter output, whose dc-link voltage control-loop design was successfully carried out based on the average model. / Master of Science