摘要
为提高电池的能量利用率和解决电池因制造工艺、循环充放电次数不同以及老化程度不一致等因素导致的荷电状态(SOC)极度不均衡问题,提出一种兼顾电流波动抑制的分布式储能型模块化多电平换流器的电池SOC均衡优化控制策略。为准确控制充放电功率,采用双环控制:外环针对相间、桥臂间和子模块间电池SOC差异,建立离散时域预测功率模型,通过负反馈控制生成动态电流参考值;内环设计了模型预测优化控制策略,准确追踪动态电流参考值,实现电池SOC均衡、提高电池能量利用率,并提高系统的动态响应能力以及抑制电池电流纹波,延长电池使用寿命。最后通过在PSCAD/EMTDC中构建仿真模型对所提出的控制器性能进行验证。
In order to improve the energy utilization of batteries and address the state of charge(SOC)im⁃balance problem amongst batteries,which caused by manufacturing process,different cycles of charging or discharging and different aging degrees,etc.The SOC balancing optimal control strategy amongst batteries in modular multilevel converter-distributed energy storage(MMC-DES)considering current fluctuation suppres⁃sion is proposed.It is a double-loop control to accurately control the charging and discharging power.The outer-power control establishes a discrete time-domain predictive power model for the SOC differences amongst batteries in MMC-DES.The inner-current loop designs a model predictive optimal control strategy to accurately track the dynamic current reference,which can achieve SOC balancing amongst batteries,improve the energy utilization and the dynamic response,and mitigate the battery current ripples,so as to extend the lifetime of batteries.Finally,the performance of the proposed controller is verified by constructing a simulation model in PSCAD/EMTDC.
作者
汪晋安
许建中
WANG Jin’an;XU Jianzhong(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2023年第7期44-50,共7页
Electric Power Automation Equipment
基金
北京市自然科学基金资助项目(3222059)。
关键词
分布式储能型模块化多电平换流器
荷电状态
预测功率模型
连续控制集模型预测控制
电池电流波动抑制
优化
modular multilevel converter-distributed energy storage
state of charge
prediction power model
continuous control set-model predictive control
battery current ripple suppression
optimization