الفهرس 
AbstractOnly 14 pages are availabe for public view
 |  | from | 147 |  |  |
| | | from | 147 | | |
Abstract
The static conversion of power from ac to dc and from dc to ac are the main processes used in hvdc transmission and for the control of ac drives.
The design and operation of such system has created the need for models or simulators to evaluate their dynamic performance. One way of dealing wi th such requirement is to build a scale model. This suffers from the difficulty that the costs increase as the model becomes sufficiently versatile to simulate a wide range of system configurations, parameters, control, and protection devices. A digital computer program provides a versatile alternative to a physical model. A digital program offers a great deal of flexibility without significant extra cost in the adoption of various parameters for design studies of power system.
This thesis deals with the slip energy recovery drives, and presents a new accurate digital simulation technique that is capable of predicting both transient and steady¬state performances of the system. Analysis and simulation are based on tensor technique. This facilitates the construction of flexible mathematical model which can be implemented easily on digital computer. Digital simulation
results are compared with those of practical work, and showed acceptable correlation.
The work of this thesis is presented in five chapters:
In chapter 1, an introduction covers available literature of adjustable speed drive systems.
In chapter 2, transformation of induction machine
quantities to voltage source and an impedance using d-q model is presented which is obtained from previous work.
Also, an equivalent circuit for inverter/supply is obtained as a voltage source in series wi th impedance depending upon
conduction mode.
In chapter 3, a description for the analysis and simulation technique developed for the study of complete slip energy recovery drive system is included.
In chapter 4, the results from a real system are obtained and compared with analysis results.
Conclusions and suggestions for future work are detailed in chapter 5.