1. ANN-based grid voltage and frequency forecaster.
- Author
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Massi Pavan, Alessandro, Chettibi, Nadjwa, Mellit, Adel, Feehally, Thomas, Forsyth, Andrew J., and Todd, Rebecca
- Subjects
ELECTRIC power distribution grids ,ARTIFICIAL neural networks ,ENERGY storage ,ELECTRIC potential ,ELECTRIC controllers - Abstract
This paper presents a method for the forecasting of the voltage and the frequency at the point of connection between a battery energy storage system installed at The University of Manchester and the local low-voltage distribution grid. The techniques are to be used in a real-time controller for optimal management of the storage system. The forecasters developed in this study use an artificial neural network (ANN)-based technique and can predict the grid quantities with two different time windows: one second and one minute ahead. The developed ANNs have been implemented in a dSPACE-based real-time controller and all forecasters show very good performance, with correlations coefficients >0.85, and mean absolute percentage errors of <0.2%. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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