Engineering Science - Theses, Dissertations, and other Required Graduate Degree Essays

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State estimation and transient stability analysis in power systems using artificial neural networks

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2004
Abstract: 

Power system state estimation and security assessment have recently become two major issues in the operation of power systems due to the increasing stress on power system networks. Utility operators must be properly informed of the operating condition or state of the power system in order to achieve a more secure and economical operation of today's complicated power systems. The state of a power system is described by a collection of voltage vectors for a given network topology and parameters. In this work, we applied Artificial Neural Networks (ANN) to estimate the state of a power system. State filtering and forecasting techniques were used to build Time Delay Neural Network (TDNN) and Functional Link Network (FLN) to capture the dynamic of a power system. Security assessment is the evaluation of a power system's ability to withstand disturbances while maintaining the quality of service. Many different techniques have been proposed for stability analysis in power systems. We focused on using neural networks as a fast and accurate alternative to security assessment. We developed an ANN-based tool to identify stable and unstable conditions of a power system after fault clearing. The hybrid method employing neural networks was used to successfully evaluate the Transient Energy Function (TEF) as a security index.

Document type: 
Thesis
File(s): 
Senior supervisor: 
Mehrdad Saif
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
(Thesis) M.A.Sc.

A discrete-time model of TCP with active queue management

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2004
Document type: 
Thesis
File(s): 
Senior supervisor: 
Ljiljana Trajkovic
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
(Thesis) M.A.Sc.

Data-based fault detection and isolation (FDI) methods for a nonlinear ship propulsion system

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2004
Document type: 
Thesis
File(s): 
Senior supervisor: 
Mehrdad Saif
Department: 
Applied Science: School of Engineering Science
Thesis type: 
(Thesis) M.A.Sc.

cRTP performance over IEEE 802.11 for VoIP applications

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2004
Document type: 
Thesis
File(s): 
Senior supervisor: 
Stephen Hardy
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
Project (M.Eng.)

Integration of a jitter control module into a packet voice application

Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2003
Document type: 
Thesis
File(s): 
Senior supervisor: 
Jacques Vaisey
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
Project (M.Eng.)

Multi channel coherent ultrasound beam pattern measurement system

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2003
Document type: 
Thesis
File(s): 
Senior supervisor: 
John S. Bird
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
Project (M.Eng.)

An operator controlled mobile robot with minimal computing power

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2003
Document type: 
Thesis
File(s): 
Senior supervisor: 
Kamal K. Gupta
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
Project (M.Eng.)

FPGA implementation of software defined radio MAC layer

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2003
Document type: 
Thesis
File(s): 
Senior supervisor: 
Stephen Hardy
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
Project (M.A.Sc. (Engineering Sc.))

Implementing AODV ad hoc routing protocol for IPv6

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2003
Document type: 
Thesis
File(s): 
Senior supervisor: 
Steve Hardy
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
Project (M.Eng.)

A novel method for insertion of overhead information into SONET frames

Author: 
Peer reviewed: 
No, item is not peer reviewed.
Date created: 
2002
Document type: 
Thesis
File(s): 
Senior supervisor: 
Paul Ho
Department: 
Applied Sciences: School of Engineering Science
Thesis type: 
Project (M.Eng.)