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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jiansheng Huang Zhuhan Jiang Negnevitsky, M. |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Engineering, University of Tasmania, Hobart, Tasmania 7001 Australia (Negnevitsky, M.) || School of Computing, Engineering and Mathematics, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751 Australia (Jiansheng Huang; Zhuhan Jiang) |
| Abstract | This paper presents a messy genetic-algorithm-based optimization scheme for SVC planning, aimed at voltage stability enhancement of power systems under most critical and N-1 operation conditions. The SVC placement was formulated as a multi-objective optimization problem in terms of maximum worst-case reactive power margin, highest load voltages towards the critical operating points, minimum real power losses, and lowest SVC device costs. During the genetic algorithm search for the optimal solution, the most critical disturbance scenario was estimated with each SVC placement and the configuration of the original power system. The preselected candidate was further checked against the N-1 security criterion. |
| Starting Page | 415 |
| Ending Page | 420 |
| File Size | 438311 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467314534 |
| e-ISBN | 9781467314541 |
| DOI | 10.1109/EnergyCon.2012.6347793 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-09 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Voltage stability reinforcement N-1 security criterion Power system stability Fuzzy logic performance index Optimization Genetic algorithms Reactive power Stability criteria Static VAr compensators Multi-objective optimization Worst-case reactive power margin Lagrange multiplier method Planning Messy genetic algorithm |
| Content Type | Text |
| Resource Type | Article |
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