A Line Outage Study for Prediction of Static Power Flow Redistribution
| dc.contributor.author | Wei, Nan | en |
| dc.contributor.committeechair | De La Ree, Jaime | en |
| dc.contributor.committeemember | Centeno, Virgilio A. | en |
| dc.contributor.committeemember | Kekatos, Vasileios | en |
| dc.contributor.department | Electrical and Computer Engineering | en |
| dc.date.accessioned | 2016-09-07T08:00:42Z | en |
| dc.date.available | 2016-09-07T08:00:42Z | en |
| dc.date.issued | 2016-09-06 | en |
| dc.description.abstract | Transmission line is a crucial role in power transmission network which connects generating units to consumers. Some unpredicted failure events such as lightening or system faults can cause transmission line tripped, which may bring about a large interruption to the system and causes damage. When line outage happens, the power flow on the tripped line will be redistributed to the rest of lines in the system. It may cause risk of overload happens on other lines, and results in a cascading failure and system collapse. Reasonably, a single line outage will not affect all other lines in the system. Therefore, when a line outage happens, it is important for the system operator to have a preview of which lines will have serious impact and which lines will not, so that the operator can only focus on monitoring certain lines which will be seriously affected, rather than keeping monitoring the whole system. In this thesis, A Line Outage Distribution Factor (LODF) method is proposed and implemented in the IEEE 118 bus system to estimate active power flow redistribution after a line outage. After that, a definition of Thevenin electrical distance between two transmission lines is derived and applied to calculate electrical distances between the outage line and each line in the system. An exponential convergence tendency is found between maximum possible LODF predicted power flow variations and electrical distance, and an exponential regression method is applied to analyze this tendency. The contribution of this work is a rule has been found that starting from the outage line, the maximum possible active power flow variation on transmission lines exponentially decreases exponentially while the electrical distance increases. With only the information of system's normal operating condition and topological information, the maximum possible active power change on each lines caused by single line outage, and the margin of the impact of single line outage on power flow variations may propagate along electrical distance can be easily and quickly predicted. Ultimately, the goal of this work is to allow operators at the control center can concentrate on lines within a certain electrical distance instead of keeping monitoring the whole system when a line outage happens. | en |
| dc.description.degree | Master of Science | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:8876 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/72887 | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Transmission Line Outage | en |
| dc.subject | Contingency Analysis | en |
| dc.subject | Power Flow Redistribution | en |
| dc.subject | Line Outage Distribution Factor | en |
| dc.subject | Thevenin Equivalent Electrical Distance | en |
| dc.title | A Line Outage Study for Prediction of Static Power Flow Redistribution | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Electrical Engineering | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | Master of Science | en |
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