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April 26, 2026Results in EngineeringOpen Access

ADP-BP Based Adaptive VSG Control for Grid-Connected Energy Storage

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Authors

HSHongchun ShuKunming University of Science and TechnologyJZJiaojie ZhangKunming University of Science and TechnologyBSBotao ShiKunming University of Science and Technology

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Implication

Randomized trial demonstrates reduced power oscillation in energy storage using adaptive neural network control, indicating improved grid stability.

Key Points

  • The aim is to enhance the control of energy storage systems connected to the grid by employing a novel adaptive VSG control strategy.
  • Developed an adaptive VSG control strategy integrating ADP and BP neural networks.
  • Utilized Actor-Critic architecture for global inertia and damping optimization.
  • Incorporated a three-stage SOC dynamic compensation model to protect battery life.
  • Achieved a reduction in active power overshoot (Δ P os) of 84.8%.
  • Reduced maximum frequency deviation (Δ f max) by 75.0%.
  • Proven real-time viability for industrial systems with lightweight computation.

Cite This Study

Shu et al. (2026) studied this question.

synapsesocial.com/papers/69edad274a46254e215b4d31https://doi.org/10.1016/j.rineng.2026.110706
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