loading page

A consensus-based adaptive hierarchical control strategy for energy storage units in electrolytic hydrogen production systems
  • +4
  • Yancheng Liu,
  • Yijun Wang,
  • Wei Lin,
  • Xue Yang,
  • Yuji Zeng,
  • Qinjin Zhang,
  • Heyang Yu
Yancheng Liu
Dalian Maritime University School of Ship Electrical Engineering
Author Profile
Yijun Wang
Dalian Maritime University School of Ship Electrical Engineering

Corresponding Author:xuankudegouzi@163.com

Author Profile
Wei Lin
Sinopec Petrochemical Research Institute Co Ltd
Author Profile
Xue Yang
Sinopec Petrochemical Research Institute Co Ltd
Author Profile
Yuji Zeng
Dalian Maritime University School of Ship Electrical Engineering
Author Profile
Qinjin Zhang
Dalian Maritime University School of Ship Electrical Engineering
Author Profile
Heyang Yu
Dalian University of Technology School of Control Science and Engineering
Author Profile

Abstract

With the expansion of islanded hydrogen production systems, the randomness and volatility of renewable energy pose higher requirements for the power supply reliability of energy storage systems (ESS). This paper presents an adaptive hierarchical control (AHC) strategy for parallel energy storage units (ESUs) in electrolytic hydrogen production systems to improve the reliability of power supply. In this strategy, each ESU is considered an agent and a dynamic average consensus algorithm is used to obtain the average value of the observed quantities. In the primary control layer, a sigmoid function is proposed to improve the droop coefficient, enabling the state of charge (SoC) of each ESU to converge to the average value. On this basis, a novel acceleration factor based on a normal distribution function is designed to accelerate the speed of SoC balancing in the later stage. In the secondary control layer, a unit virtual voltage drop balancing term and an average voltage compensation term are used to distribute the output current of ESUs proportionally according to their capacity and restore the average bus voltage deviation. The stability analysis confirms that the proposed method is strongly stable. Finally, a photovoltaic hydrogen production simulation model and a StarSim HIL experimental platform are established. The results show that the proposed control strategy can achieve rapid SoC balancing and accurate load current distribution with excellent average bus voltage compensation under various complex operating conditions.
04 Dec 2024Submitted to Battery Energy
05 Dec 2024Submission Checks Completed
05 Dec 2024Assigned to Editor
05 Dec 2024Review(s) Completed, Editorial Evaluation Pending
12 Dec 2024Reviewer(s) Assigned