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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo Wang Dichen Liu Li Xiong |
| Copyright Year | 2009 |
| Description | Author affiliation: Electrical School of Wuhan University, 430072, Hubei, China (Bo Wang; Dichen Liu) |
| Abstract | GPS-based synchronous phasor measurement technology is a powerful tool for the security and reliable operation of the inter-connected electric power system. This paper presents an ACO-based approach to optimize the phasor measurement unit (PMU) placement problem. The pheromone trail persistence coefficient adaptive adjustment mechanism and stochastic perturbing progress are introduced into the Ant Colony System(ACS), in case the algorithm entering the stagnation behavior and getting stuck at local minima. The improved algorithm outperforms the ACS in obtaining global optimal solution and convergence speed, when applied to optimizing the PMU placement problem. A graph-theoretic procedure based on depth first search is adopted to analyze system observability. Simulation results in optimizing a provincial 46-bus system PMU placement problem show that the improved ACS algorithm is effective. |
| Starting Page | 2451 |
| Ending Page | 2453 |
| File Size | 101037 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424435562 |
| DOI | 10.1109/IPEMC.2009.5157814 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Power systems Phasor measurement units Power system reliability Power system security Ant colony optimization Power system measurements Power measurement Electric variables measurement Stochastic systems Observability placement ACS ASPACS PMU |
| Content Type | Text |
| Resource Type | Article |
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