Due to growth of wind power, system operators are being challenged by the integration of large wind farms into their electrical power systems. Large scale wind farm integration has adverse effects on the power system due to its variable
characteristic. These effects include two main aspects: voltage
stability and active line flow. In this thesis, a novel techniques
to forecast active line flow and select pilot bus are introduced
with wind power integration.
First, this thesis introduces a methodology to forecast congestion in the transmission line with high wind penetration. Since most wind resources tend to be located far away form the load center, the active line flow is one of the most significant aspects when wind farm is connected to electrical grid. By providing the information about the line flow which can contribute to transmission line congestion, the system operators would be able to respond such as by requesting wind power or load reduction.
The second objective of this thesis is to select the weakest
bus, called pilot bus, among all load buses. System reliability,
especially voltage stability, can be adversely affected by wind
variability. In order to ensure reliable operation of power systems
with wind power integration, the index to select the pilot bus is
developed, and further prediction of voltage profile at the pilot
bus is fulfilled. The objective function to select the pilot bus
takes account of the N-1 contingency analysis, loading margin, and reactive power sensitivity. Through on the objective function, the pilot bus is representative of all load buses as well as controllable by reactive power regulation. Predicting the voltage profile at the pilot bus is also useful for system operators to
determine wind power output. / text
| Identifer | oai:union.ndltd.org:UTEXAS/oai:repositories.lib.utexas.edu:2152/ETD-UT-2011-08-3867 |
| Date | 30 September 2011 |
| Creators | Kang, Han |
| Source Sets | University of Texas |
| Language | English |
| Detected Language | English |
| Type | thesis |
| Format | application/pdf |
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