Applied Sciences (Apr 2023)

Optimal Modeling for Dynamic Response of Energy Storage Systems

  • Chen-Cheng Lee,
  • Yu-Min Hsin,
  • Shang-Chun Dai,
  • Cheng-Chien Kuo

DOI
https://doi.org/10.3390/app13084943
Journal volume & issue
Vol. 13, no. 8
p. 4943

Abstract

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Using energy storage systems with solar and wind energy can overcome the intermittence of these types of renewable energy. According to the regulations made by the utilities in each country, facilities that are connected to the power grid should be assessed on how they influence the power grid. Power system simulation software such as PSS/E, DIgSILENT, and DSATools are widely used by utilities. The default models in these kinds of software are defined by the Western Electricity Coordinating Council (WECC). Improper parameters will produce estimation results that are not informative, and the utilities may make wrong decisions. To avoid this problem, this study designed the process to find suitable parameters for real energy storage systems. Using models created by the WECC and reducing it according to the application condition decreased the burden of the optimization process. We used two algorithms and their improved versions to search for an appropriate value of variables that can represent a real energy storage system. We also compared the results between the BESS simplified model that we built and the original model from PSS/E.

Keywords