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计及多堆燃料电池功率分配的电氢耦合系统分层控制策略

李建林 石泽林 陈来军

电力建设2024,Vol.45Issue(11):79-88,10.
电力建设2024,Vol.45Issue(11):79-88,10.DOI:10.12204/j.issn.1000-7229.2024.11.007

计及多堆燃料电池功率分配的电氢耦合系统分层控制策略

Hierarchical Control Strategy for Electric-Hydrogen Coupled System Considering the Power Distribution of Multi-Stack Fuel Cells

李建林 1石泽林 1陈来军2

作者信息

  • 1. 国家能源用户侧储能创新研发中心(北方工业大学),北京市 100144
  • 2. 新能源光伏产业研究中心(青海大学),西宁市 810016
  • 折叠

摘要

Abstract

To address the issues of limited output power in single fuel cells and the low efficiency of electric-hydrogen coupling systems in maintaining stable operation under complex conditions,this paper investigates the power allocation strategy for multi-stack fuel cell systems(MFCS)and proposes an electric-hydrogen coupling layered energy management strategy that considers the power allocation of multi-stack fuel cells.A layered energy management strategy is introduced,dividing the control system into a state-machine control layer and a device control layer.The multi-stack fuel cell power allocation method is designed to optimize fuel cell efficiency.The upper layer,the state-machine control layer,collects data on residual system power,the state of charge(SOC)of the lithium battery,and the state of hydrogen(SOH)in the hydrogen storage tank.The lower layer,the equipment control layer,receives switching signals from the state machine to control each device,selecting different control modes.This allows the fuel cells to operate within their normal range as much as possible,improving their life and efficiency,reducing system state switching,enhancing the system's anti-disturbance capabilities,and efficiently utilizing photovoltaics.Simulations based on the Simulink platform verified the effectiveness of the proposed hierarchical control strategy.

关键词

电氢耦合/多堆燃料电池系统/分层控制策略/状态机控制

Key words

electric-hydrogen coupling/multistack fuel cell system/hierarchical control strategy/state machine control

分类

信息技术与安全科学

引用本文复制引用

李建林,石泽林,陈来军..计及多堆燃料电池功率分配的电氢耦合系统分层控制策略[J].电力建设,2024,45(11):79-88,10.

基金项目

This work is supported by National Natural Science Foundation of China(No.52277211)and Basic Research Plan Project of Qinghai Province(No.2023-ZJ-704).国家自然科学基金项目(52277211) (No.52277211)

青海省基础研究计划项目(2023-ZJ-704) (2023-ZJ-704)

电力建设

OA北大核心CSTPCD

1000-7229

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