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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Espinosa-Juarez, E. Lucio, J. Hernandez, A. |
| Copyright Year | 2009 |
| Abstract | In this paper, the impact of distributed generation on the optimal location of measurement equipment to detect voltage sags in a power system is analyzed. An analytical method is used to formulate the optimization problem, which guarantees the coverage of the whole system. The application of genetic algorithms is proposed to solve the problem of optimal location of measurement equipment to detect voltage sags in a power system. The methodology is implemented by using genetic algorithms routines from the MatlabĀ® Genetic Algorithm and Direct Search ToolboxTM. Several case studies are showed in IEEE-24 bus Reliability Test System (RTS) and in the IEEE 57-bus Test System. |
| Starting Page | 107 |
| Ending Page | 112 |
| File Size | 328112 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769537993 |
| DOI | 10.1109/CERMA.2009.75 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-22 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis System testing Voltage fluctuations genetic algorithms optimal location Power Quality Genetic algorithms voltage sags (dips) Power system measurements Power measurement Power quality Power system analysis computing Distributed control Power system reliability |
| Content Type | Text |
| Resource Type | Article |
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