Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction
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 photovo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/22/7794 |
| _version_ | 1797510427399159808 |
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| author | Gergo Barta Benedek Pasztor Venkat Prava |
| author_facet | Gergo Barta Benedek Pasztor Venkat Prava |
| author_sort | Gergo Barta |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T05:31:21Z |
| format | Article |
| id | doaj.art-40e9cc23d3c844a8b5fa892ac6aaf47f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T05:31:21Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-40e9cc23d3c844a8b5fa892ac6aaf47f2023-11-22T23:13:31ZengMDPI AGEnergies1996-10732021-11-011422779410.3390/en14227794Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load ReductionGergo Barta0Benedek Pasztor1Venkat Prava2Utopus Insights, Inc., Valhalla, NY 10595, USAUtopus Insights, Inc., Valhalla, NY 10595, USAFoot Locker, Inc., New York, NY 10001, USAThe 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.https://www.mdpi.com/1996-1073/14/22/7794forecasting competitionbattery schedulingelectric load forecastingsolar power forecastinghybrid solar plant |
| spellingShingle | Gergo Barta Benedek Pasztor Venkat Prava Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction Energies forecasting competition battery scheduling electric load forecasting solar power forecasting hybrid solar plant |
| title | Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction |
| title_full | Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction |
| title_fullStr | Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction |
| title_full_unstemmed | Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction |
| title_short | Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction |
| title_sort | optimized charge controller schedule in hybrid solar battery farms for peak load reduction |
| topic | forecasting competition battery scheduling electric load forecasting solar power forecasting hybrid solar plant |
| url | https://www.mdpi.com/1996-1073/14/22/7794 |
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