Nayar, Priya ; Singh, Bhim ; Mishra, Sukumar (2016) Neural network based control of SG based standalone generating system with energy storage for power quality enhancement Journal of The Institution of Engineers (India): Series B, 98 (4). pp. 405-413. ISSN 2250-2106
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Official URL: https://link.springer.com/article/10.1007/s40031-0...
Related URL: http://dx.doi.org/10.1007/s40031-016-0271-3
Abstract
An artificial intelligence based control algorithm is used in solving power quality problems of a diesel engine driven synchronous generator with automatic voltage regulator and governor based standalone system. A voltage source converter integrated with a battery energy storage system is employed to mitigate the power quality problems. An adaptive neural network based signed regressor control algorithm is used for the estimation of the fundamental component of load currents for control of a standalone system with load leveling as an integral feature. The developed model of the system performs accurately under varying load conditions and provides good dynamic response to the step changes in loads. The real time performance is achieved using MATLAB along with simulink/simpower system toolboxes and results adhere to an IEEE-519 standard for power quality enhancement.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer Verlag. |
| Keywords: | Power Quality; Standalone Synchronous Generator; Point Of Common Coupling; Voltage Source Converter; Power Factor Correction; Nonlinear Load |
| ID Code: | 108024 |
| Deposited On: | 07 Aug 2017 13:20 |
| Last Modified: | 10 Aug 2017 07:41 |
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