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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Deep, K. Bansal, J.C. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Mathematics, Indian Institute of Technology Roorkee, India (Deep, K.) || Department of Mathematics, Birla Institute of Technology and Science Pilani, India (Bansal, J.C.) |
| Abstract | An important problem in electrical engineering is to determine the optimal directional overcurrent relay times. The problem is modeled as a constrained nonlinear continuous optimization problem in which the decision variables are the devices that control the act of isolation of faulty lines from the system without disturbing the healthy lines. Two models are considered namely IEEE-3 bus system and IEEE-4 bus system. The optimization methodology is the Laplace Crossover Particle Swarm Optimization (LXPSO), which has recently been introduced by the authors. LXPSO uses a new information sharing strategy amongst the particles of the swarm using a new crossover, called Laplace Crossover (LX), based on Laplace distribution. The results obtained by LXPSO are compared with the results available in the literature. It is shown that LXPSO is able to provide superior results in terms of optimality and reliability in comparison to other methods. |
| Starting Page | 288 |
| Ending Page | 293 |
| File Size | 247164 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424450534 |
| DOI | 10.1109/NABIC.2009.5393722 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-09 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization methods Directional Overcurrent Relay Times Crossover Operator Mathematics Relays Particle swarm optimization Power system faults Power system modeling Genetic algorithms Constraint optimization Power system interconnection LXPSO Power system relaying Particle Swarm Optimization |
| Content Type | Text |
| Resource Type | Article |
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