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A system based on Artificial Neural Network (ANN) for load predication in power distribution system with chillers is presented in this paper. The proposed system could predict the chillers' load each hour in a day by using the weather conditions as input. Results from this system provide possibility to improve the power factor of the chillers system and to optimize the power distribution in loads...
Flywheel energy storage has fast charge and discharge speed, and it is capable of discharge huge power in a very short time. So it has become a wise choice to solve power quality problems. This paper describes a Dynamic Voltage Restorer (DVR) using flywheel energy storage (FES) to protect the critical load from voltage sags in distribution network. The flywheel unit is composed of high strength steel...
Flywheel energy storage has attracted new research attention recently in applications like power quality, regenerative braking and uninterruptible power supply (UPS). As a sustainable energy storage method, flywheel energy storage has become a direct substitute for batteries in UPS applications. Inner design of the flywheel unit is shown to illustrate the economical way to construct the system. A...
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