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Reduction of Power Imbalances Using Battery Energy Storage System in a Bulk Power System with Extremely Large Photovoltaics Interactions

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  • Rajitha Udawalpola

    (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 Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan)

  • Taisuke Masuta

    (Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan)

  • Taisei Yoshioka

    (Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan)

  • Kohei Takahashi

    (Department of Electrical and Electronic Engineering, Faculty of Science and Technology, Meijo University, Nagoya 468-8502, Japan)

  • Hideaki Ohtake

    (Fukushima Renewable Energy Institute, National Institute of Advanced Industrial Science and Technology (AIST), Fukushima 963-0298, Japan)

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.

Suggested Citation

  • Rajitha Udawalpola & Taisuke Masuta & Taisei Yoshioka & Kohei Takahashi & Hideaki Ohtake, 2021. "Reduction of Power Imbalances Using Battery Energy Storage System in a Bulk Power System with Extremely Large Photovoltaics Interactions," Energies, MDPI, vol. 14(3), pages 1-27, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:522-:d:483478
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    References listed on IDEAS

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    1. Shabani, Masoume & Mahmoudimehr, Javad, 2018. "Techno-economic role of PV tracking technology in a hybrid PV-hydroelectric standalone power system," Applied Energy, Elsevier, vol. 212(C), pages 84-108.
    2. Wang, Bo & Zhou, Min & Xin, Bo & Zhao, Xin & Watada, Junzo, 2019. "Analysis of operation cost and wind curtailment using multi-objective unit commitment with battery energy storage," Energy, Elsevier, vol. 178(C), pages 101-114.
    3. Bo Fu & Chenxi Ouyang & Chaoshun Li & Jinwen Wang & Eid Gul, 2019. "An Improved Mixed Integer Linear Programming Approach Based on Symmetry Diminishing for Unit Commitment of Hybrid Power System," Energies, MDPI, vol. 12(5), pages 1-14, March.
    4. Abujarad, Saleh Y. & Mustafa, M.W. & Jamian, J.J., 2017. "Recent approaches of unit commitment in the presence of intermittent renewable energy resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 215-223.
    5. Campana, Pietro Elia & Li, Hailong & Yan, Jinyue, 2013. "Dynamic modelling of a PV pumping system with special consideration on water demand," Applied Energy, Elsevier, vol. 112(C), pages 635-645.
    6. Purvins, Arturs & Zubaryeva, Alyona & Llorente, Maria & Tzimas, Evangelos & Mercier, Arnaud, 2011. "Challenges and options for a large wind power uptake by the European electricity system," Applied Energy, Elsevier, vol. 88(5), pages 1461-1469, May.
    7. Baptiste François & Benoit Hingray & Marco Borga & Davide Zoccatelli & Casey Brown & Jean-Dominique Creutin, 2018. "Impact of Climate Change on Combined Solar and Run-of-River Power in Northern Italy," Energies, MDPI, vol. 11(2), pages 1-22, January.
    8. Dominik Kryzia & Michał Kopacz & Katarzyna Kryzia, 2020. "The Valuation of the Operational Flexibility of the Energy Investment Project Based on a Gas-Fired Power Plant," Energies, MDPI, vol. 13(7), pages 1-16, March.
    9. Heba-Allah I. ElAzab & R. A. Swief & Noha H. El-Amary & H. K. Temraz, 2018. "Unit Commitment Towards Decarbonized Network Facing Fixed and Stochastic Resources Applying Water Cycle Optimization," Energies, MDPI, vol. 11(5), pages 1-21, May.
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    1. Maaike Braat & Odysseas Tsafarakis & Ioannis Lampropoulos & Joris Besseling & Wilfried G. J. H. M. van Sark, 2021. "Cost-Effective Increase of Photovoltaic Electricity Feed-In on Congested Transmission Lines: A Case Study of The Netherlands," Energies, MDPI, vol. 14(10), pages 1-21, May.
    2. Jordan Radosavljević & Aphrodite Ktena & Milena Gajić & Miloš Milovanović & Jovana Živić, 2023. "Dynamic Optimal Power Dispatch in Unbalanced Distribution Networks with Single-Phase Solar PV Units and BESS," Energies, MDPI, vol. 16(11), pages 1-19, May.

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