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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shaaban, M. Yixin Ni Wu, F. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ., China (Shaaban, M.) |
| Abstract | The application of the genetic algorithms to solve the total transfer capability (TTC) problem is proposed in this paper. TTC is a nonlinear function of the system operating conditions and security constraints. The objective of the proposed genetic algorithm is to maximize a specific point-to-point power transaction without system constraint violation and to determine the TTC between the two points through global optimal search. The suggested genetic algorithm is simple to implement and can easily incorporate various constraints. The floating-point based genetic algorithm was tested on a 4 bus test system with good convergence. The test results are compared favorably with that obtained from the continuation power flow. |
| Starting Page | 114 |
| Ending Page | 118 |
| File Size | 472940 |
| Page Count | 5 |
| File Format | |
| ISBN | 078035902X |
| DOI | 10.1109/DRPT.2000.855648 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-04-04 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetic algorithms Power system reliability Power system security System testing Load flow Transmission line measurements Search methods Power system planning Consumer electronics Genetic engineering |
| Content Type | Text |
| Resource Type | Article |
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