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SMART NON-ACTIVE POWER COMPENSATOR WITH NEURAL NETWORK CONTROL - AN EVALUATION
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| Author(s) |
G. Blajszczak; J. D. van Wyk; I. Shaw |
| Abstract |
Distortion in power network - non-active power components can be eliminated by a compensator that consists of one or a few converters. To obtain cost-optimal compensation, a specific distortion should be eliminated by a compensator configuration with the lowest operational costs. In this paper a multi-converter compensator is proposed with neural network control and investigated by simulation. The neural network control system analyses the distortion components - non-active power and the losses in the converters of the compensator - and chooses this converter (or converters) and their working mode that ensures cost-optimal compensation. |
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| Filename: | Unnamed file |
| Filesize: | 3.439 MB |
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| Type |
Members Only |
| Date |
Last modified 2019-05-21 by System |
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