Hybrid Energy Storage Power Distribution Strategy for Micro Gas Turbine Power Generation System Based on Variational Mode Decomposition

LI Yueming; DING Zemin; YU Youhong; LIU Yongbao

doi:10.7652/xjtuxb202310018

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Hybrid Energy Storage Power Distribution Strategy for Micro Gas Turbine Power Generation System Based on Variational Mode Decomposition

更新时间：2025-05-08

- Hybrid Energy Storage Power Distribution Strategy for Micro Gas Turbine Power Generation System Based on Variational Mode Decomposition
- Vol. 57, Issue 10, Pages: 183-195(2023)
- 作者机构：
  
  海军工程大学动力工程学院,武汉,430033
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202310018
  CLC： U665.12
- Online First：10 October 2023，
  
  Published：2023
- 稿件说明：
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LI Yueming, DING Zemin, YU Youhong, et al. Hybrid Energy Storage Power Distribution Strategy for Micro Gas Turbine Power Generation System Based on Variational Mode Decomposition[J]. 2023, 57(10): 183-195.
DOI：

LI Yueming, DING Zemin, YU Youhong, et al. Hybrid Energy Storage Power Distribution Strategy for Micro Gas Turbine Power Generation System Based on Variational Mode Decomposition[J]. 2023, 57(10): 183-195. DOI： 10.7652/xjtuxb202310018.

摘要

为缓解大功率脉冲负载投切造成的船舶燃气轮机发电系统功率波动

将由飞轮储能装置和蓄电池组成的混合储能系统应用于船舶燃气轮机发电系统

提出一种采用变分模态分解(VMD)和模糊控制策略的船舶微型燃气轮机发电系统混合储能功率分配策略。基于算术优化算法优化的变分模态分解(AOA-VMD)

实现混合储能系统中飞轮储能和蓄电池功率的初级分配; 考虑飞轮储能转速和蓄电池荷电状态安全运行范围

设计两个并列的模糊控制器

调节飞轮储能和蓄电池的初级功率

实现飞轮储能和蓄电池功率的二次分配。建立包括燃气轮机、发电机、混合储能系统和脉冲功率负载的船舶微型燃气轮机发电系统模型并开展性能仿真。结果表明

考虑混合储能后

脉冲负载投切所造成的直流母线电压最大波动减小了6.4%

对应的微燃机转速最大变化率减小了0.02%。对比采用传统滤波器和未经优化VMD的算法

采用AOA-VMD算法分解脉冲负载的功率波动信号:投入峰值功率为40 kW的脉冲功率负载时

直流母线电压波动量分别减小3 V和2.4 V

对应的微燃机转速波动率分别减小0.012%和0.014%; 切除上述负载时

电压分别减小2.7 V和0.6 V

转速波动率分别减小0.018%和0.012%。仿真结果验证了所提采用变分模态分解的混合储能功率分配策略的有效性与优越性。

Abstract

To mitigate power fluctuations caused by high-power pulse load switching in ship gas turbine power generation systems

this research proposes a hybrid energy storage power allocation strategy for ship micro gas turbine power generation systems. The strategy involves the application of a hybrid energy storage system composed of flywheel energy storage devices and batteries. It incorporates variational mode decomposition(VMD)and fuzzy control strategy. The primary allocation of flywheel energy storage and batteries in the hybrid system is achieved using arithmetic optimization algorithm-based optimized variational mode decomposition(AOA-VMD). Two parallel fuzzy controllers are designed to regulate flywheel energy storage and battery primary power

considering the safe operation ranges of flywheel energy storage speed and battery state of charge. This shipboard micro gas turbine power generation system model

including gas turbine

generator

hybrid energy storage system

and pulse power load

is established for performance simulation. The results indicate that incorporating hybrid energy storage reduces the maximum fluctuation in DC bus voltage caused by pulse load switching by 6.4%

with a corresponding decrease of 0.02% in maximum change rate of micro gas turbine speed. When compared to traditional filter and unoptimized VMD algorithms

applying the AOA-VMD algorithm for power fluctuation signal decomposition reduces DC bus voltage fluctuation by 3 V and 2.4 V

respectively

when subjected to a peak power pulse load of 40 kW. The associated micro gas turbine speed fluctuation rates decrease by 0.012% and 0.014%. When the aforementioned load is removed

voltage reduction is observed at 2.7 V and 0.6 V respectively

with corresponding speed fluctuation rate reductions of 0.018% and 0.012%. Through simulation

proof of the effectiveness and superiority of the proposed hybrid energy storage power allocation strategy based on variational mode decomposition is affirmed.

关键词

Keywords

references

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