微电网
电压降
荷电状态
储能
MATLAB语言
电压
能源管理
计算机科学
控制理论(社会学)
功率(物理)
分布式发电
汽车工程
能量(信号处理)
工程类
控制(管理)
电池(电)
电气工程
电压调节器
可再生能源
人工智能
物理
操作系统
统计
量子力学
数学
作者
Junrui Wang,Li Dai,Xuanjing Qiao,Bingchao Bai,Xinju Wu,Dongqi Zhao
出处
期刊:
日期:2022-12-16
卷期号:44: 1014-1018
标识
DOI:10.1109/iciea54703.2022.10006327
摘要
Aiming at the problems of large bus voltage fluctuations and non-proportional output of energy storage unit(ESU) charging and discharging power resulting in unbalanced state of charge(SOC) in microgrid, this paper proposes an adaptive droop control(ADC) strategy based on SOC, which uses the SOC value of the ESU as the droop coefficient, and considering the fluctuation range of bus voltage, uses different control strategies for the charging and discharging of ESUs, so that the charging and discharging power of the ESU can be proportionally distributed according to its SOC value, stabilizing the fluctuating voltage, and achieving SOC balance. Energy management strategy uses a secondary control method to simultaneously monitor the bus voltage and the SOC value of the ESU. it coordinates the flexible switching between various working modes in different environments of the microgrid, effectively stabilize the bus voltage, and improve the quality of microgrid. A simulation model of the control strategy was built on the Matlab/Simulink platform, and the effectiveness of the control strategy is verified on the optical storage DC microgrid experimental platform based on TMS320F28335.
科研通智能强力驱动
Strongly Powered by AbleSci AI