Power system operation requires accurate monitoring of electrical quantities
and a reliable database of the power system. As the power system operation becomes
more competitive, the secure operation becomes highly important and the role of state
estimation becomes more critical. Recently, due to the development of new technology
in high power electronics, new control and monitoring devices are becoming more
popular in power systems. It is therefore necessary to investigate their models and
integrate them into the existing state estimation applications.
This dissertation is dedicated to exploiting the newly appeared controlling and
monitoring devices, such as Flexible AC Transmission System (FACTS) devices and
(Phasor Measurement Units) PMUs, and developing new algorithms to include them
into power system analysis applications. Another goal is to develop a 3D visualization
tool to help power system operators gain an in-depth image of the system operation
state and to identify limit violations in a quick and intuitive manner.
An algorithm of state estimation of a power system with embedded FACTS
devices is developed first. This estimator can be used to estimate the system state
quantities and Unified Power Flow Controller (UPFC) controller parameters. Furthermore,
it can also to be used to determine the required controller setting to maintain
a desired power flow through a given line. In the second part of this dissertation, two
methods to determine the optimal locations of PMUs are derived. One is numerical
and the other one is topological. The numerical method is more effective when there are very few existing measurements while the topology-based method is more applicable
for a system, which has lots of measurements forming several observable islands.
To guard against unexpected failures of PMUs, the numerical method is extended to
account for single PMU loss. In the last part of this dissertation, a 3D graphic user
interface for power system analysis is developed. It supports two basic application
functions, power flow analysis and state estimation. Different visualization techniques
are used to represent different kinds of system information.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-1784 |
| Date | 02 June 2009 |
| Creators | Xu, Bei |
| Contributors | Abur, Ali |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | electronic, application/pdf, born digital |
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