Abstract
This paper focuses on improving the performance of electrical power system operation by reducing the losses and improving the power quality. Controlling the transformation ratio of power transformers and the injected reactive power has been utilized to optimize system performance. Nonlinear neural networks and linear discriminant functions have been implemented to approximate the power losses in Amman south substation.
| Original language | English |
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| Title of host publication | Proceedings of the 20th IASTED International Conference on Modelling and Simulation, MS 2009 |
| Pages | 372-378 |
| Number of pages | 7 |
| Publication status | Published - 2009 |
| Event | 20th IASTED International Conference on Modelling and Simulation, MS 2009 - Banff, AB, Canada Duration: 6 Jul 2009 → 8 Jul 2009 |
Publication series
| Name | Proceedings of the IASTED International Conference on Modelling and Simulation |
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| ISSN (Print) | 1021-8181 |
Conference
| Conference | 20th IASTED International Conference on Modelling and Simulation, MS 2009 |
|---|---|
| Country/Territory | Canada |
| City | Banff, AB |
| Period | 6/07/09 → 8/07/09 |
Bibliographical note
Copyright:Copyright 2010 Elsevier B.V., All rights reserved.
Keywords
- Load tap changing
- Neural networks
- Power losses
- Reactive power