Optimization models to flatten duck curve in power grid with high penetration of solar energy

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Authors

  • Nguyen Quoc Minh (Corresponding Author) School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Nguyen Duy Linh School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Nguyen Trong Khiem School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Tran Huu Quynh School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Pham Tuan Nghia School of Electrical and Electronics Engineering, Hanoi University of Science and Technology
  • Bui Minh Quan School of Electrical and Electronics Engineering, Hanoi University of Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.91.2023.45-53

Keywords:

Duck curve; BESS; Solar energy; CAISO; MIQP.

Abstract

Currently, renewable energy sources are becoming increasingly popular worldwide as an alternative to reduce dependence on traditional energy sources, especially clean energy such as solar and wind energy. However, with a high level of solar energy integrated into the grid, operators are dealing with a new problem that can be visualized as the “duck curve”, when the solar energy production is high and the demand are low. In this paper, optimal MIQP models with two different objective functions to overcome the duck curve is introduced. The models are evaluated in the California power grid (CAISO), where the penetration of solar energy is significant. The results show that the battery energy storage system can help to reduce the ramp rate of the duck curve up to 57.6%.

References

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Published

25-11-2023

How to Cite

Nguyen Quoc Minh, Nguyen Duy Linh, Nguyen Trong Khiem, Tran Huu Quynh, Pham Tuan Nghia, and Bui Minh Quan. “Optimization Models to Flatten Duck Curve in Power Grid With High Penetration of Solar Energy”. Journal of Military Science and Technology, vol. 91, no. 91, Nov. 2023, pp. 45-53, doi:10.54939/1859-1043.j.mst.91.2023.45-53.

Issue

Vol. 91 (2023)

Section

Research Articles

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