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Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction

1
Utopus Insights, Inc., Valhalla, NY 10595, USA
2
Foot Locker, Inc., New York, NY 10001, USA
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Academic Editors: William Holderbaum and Stephen Haben
Energies 2021, 14(22), 7794; https://doi.org/10.3390/en14227794
Received: 31 August 2021 / Revised: 2 November 2021 / Accepted: 10 November 2021 / Published: 22 November 2021
(This article belongs to the Special Issue Forecasting and Management Systems for Smart Grid Applications)
The goal of this paper is to optimally combine day-ahead solar and demand forecasts for the optimal battery schedule of a hybrid solar and battery farm connected to a distribution station. The objective is to achieve the maximum daily peak load reduction and charge battery with maximum solar photovoltaic energy. The innovative part of the paper lies in the treatment for the errors in solar and demand forecasts to then optimize the battery scheduler. To test the effectiveness of the proposed methodology, it was applied in the data science challenge Presumed Open Data 2021. With the historical Numerical Weather Prediction (NWP) data, solar power plant generation and distribution-level demand data provided, the proposed methodology was tested for four different seasons. The evaluation metric used is the peak reduction score (defined in the paper), and our approach has improved this KPI from 82.84 to 89.83. The solution developed achieved a final place of 5th (out of 55 teams) in the challenge. View Full-Text
Keywords: forecasting competition; battery scheduling; electric load forecasting; solar power forecasting; hybrid solar plant forecasting competition; battery scheduling; electric load forecasting; solar power forecasting; hybrid solar plant
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MDPI and ACS Style

Barta, G.; Pasztor, B.; Prava, V. Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction. Energies 2021, 14, 7794. https://doi.org/10.3390/en14227794

AMA Style

Barta G, Pasztor B, Prava V. Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction. Energies. 2021; 14(22):7794. https://doi.org/10.3390/en14227794

Chicago/Turabian Style

Barta, Gergo, Benedek Pasztor, and Venkat Prava. 2021. "Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction" Energies 14, no. 22: 7794. https://doi.org/10.3390/en14227794

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