LAPSE:2023.29209v1
Published Article

LAPSE:2023.29209v1
Reduction of Power Imbalances Using Battery Energy Storage System in a Bulk Power System with Extremely Large Photovoltaics Interactions
April 13, 2023
Abstract
Power imbalances such as power shortfalls and photovoltaic (PV) curtailments have become a major problem in conventional power systems due to the introduction of renewable energy sources. There can be large power shortfalls and PV curtailments because of PV forecasting errors. These imbalances might increase when installed PV capacity increases. This study proposes a new scheduling method to reduce power shortfalls and PV curtailments in a PV integrated large power system with a battery energy storage system (BESS). The model of the Kanto area, which is about 30% of Japan’s power usage with 60 GW grid capacity, is used in simulations. The effect of large PV power integration of 50 GW and 100 GW together with large BESS capacity of 100 GWh and 200 GWh has been studied. Mixed integer linear programming technique is used to calculate generator unit commitment and BESS charging and discharging schedules. The simulation results are shown for two months with high and low solar irradiance, which include days with large PV over forecast and under forecast errors. The results reveal that the proposed method eliminates power shortfalls by 100% with the BESS and reduce the PV curtailments by 69.5% and 95.2% for the months with high and low solar irradiance, respectively, when 200 GWh BESS and 100 GW PV power generation are installed.
Power imbalances such as power shortfalls and photovoltaic (PV) curtailments have become a major problem in conventional power systems due to the introduction of renewable energy sources. There can be large power shortfalls and PV curtailments because of PV forecasting errors. These imbalances might increase when installed PV capacity increases. This study proposes a new scheduling method to reduce power shortfalls and PV curtailments in a PV integrated large power system with a battery energy storage system (BESS). The model of the Kanto area, which is about 30% of Japan’s power usage with 60 GW grid capacity, is used in simulations. The effect of large PV power integration of 50 GW and 100 GW together with large BESS capacity of 100 GWh and 200 GWh has been studied. Mixed integer linear programming technique is used to calculate generator unit commitment and BESS charging and discharging schedules. The simulation results are shown for two months with high and low solar irradiance, which include days with large PV over forecast and under forecast errors. The results reveal that the proposed method eliminates power shortfalls by 100% with the BESS and reduce the PV curtailments by 69.5% and 95.2% for the months with high and low solar irradiance, respectively, when 200 GWh BESS and 100 GW PV power generation are installed.
Record ID
Keywords
batter energy storage systems, forecast errors, mixed integer linear programming, photovoltaic forecasting, unit commitment
Subject
Suggested Citation
Udawalpola R, Masuta T, Yoshioka T, Takahashi K, Ohtake H. Reduction of Power Imbalances Using Battery Energy Storage System in a Bulk Power System with Extremely Large Photovoltaics Interactions. (2023). LAPSE:2023.29209v1
Author Affiliations
Udawalpola R: Department of Electrical and Information Engineering, Faculty of Engineering, University of Ruhuna, Galle 80000, Sri Lanka; Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT 06269, USA; Department of Electrical and [ORCID]
Masuta T: Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan [ORCID]
Yoshioka T: Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan
Takahashi K: Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan
Ohtake H: Fukushima Renewable Energy Institute, National Institute of Advanced Industrial Science and Technology (AIST), Fukushima 963-0298, Japan [ORCID]
Masuta T: Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan [ORCID]
Yoshioka T: Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan
Takahashi K: Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan
Ohtake H: Fukushima Renewable Energy Institute, National Institute of Advanced Industrial Science and Technology (AIST), Fukushima 963-0298, Japan [ORCID]
Journal Name
Energies
Volume
14
Issue
3
First Page
522
Year
2021
Publication Date
2021-01-20
ISSN
1996-1073
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Original Submission
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PII: en14030522, Publication Type: Journal Article
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LAPSE:2023.29209v1
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https://doi.org/10.3390/en14030522
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