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基于储能型开关电感准Z源逆变器的模型预测控制
引用本文:冯婷婷,张竣淇,朱勇,周平.基于储能型开关电感准Z源逆变器的模型预测控制[J].电源学报,2021,19(6):137-145.
作者姓名:冯婷婷  张竣淇  朱勇  周平
作者单位:国网重庆市电力公司经济技术研究院,国网重庆市电力公司经济技术研究院,重庆嘉汇投资有限公司新能源分公司,国网重庆市电力公司经济技术研究院
摘    要:针对传统准Z源逆变器(quasi-Z-Source Inverter,QZSI)升压能力和功率协调控制能力的不足,本文提出将储能电池与开关电感型QZSI相结合构成储能型开关电感QZSI(Energy-Storage Switched-Inductor QZSI,ES-SLQZSI),提高了系统升压倍数和功率协调能力,并针对ES-SLQZSI系统,提出一种基于有限集模型预测控制(Finite Control Set-Model Predictive Control,FCS-MPC)结构的功率控制策略,在单级变换系统中实现了最大功率点追踪(MPPT)和并网功率控制。建立了ES-SLQZSI的离散时间模型,基于此模型设计预测函数与代价函数。然后,设计光伏功率MPPT模块和输出功率管理模块。相比于传统多级结构的储能光伏系统,该系统结构简单,无需额外的DC-DC变换器;相比于传统双环PI PWM控制策略,该方法简单易行,所需PI控制器少,无需PWM调制器;动态响应速度优良,适合被控变量较多的非线性系统。仿真结果验证了控制策略的有效性。

关 键 词:光伏  准Z源逆变器  模型预测控制  开关电感  电池
收稿时间:2019/11/15 0:00:00
修稿时间:2021/11/25 0:00:00

Model Predictive Control of Energy-storage Switched-inductor Quasi-Z-source Inverter
FENG Tingting,ZHANG Junqi,ZHU Yong,ZHOU Ping.Model Predictive Control of Energy-storage Switched-inductor Quasi-Z-source Inverter[J].Journal of power supply,2021,19(6):137-145.
Authors:FENG Tingting  ZHANG Junqi  ZHU Yong  ZHOU Ping
Affiliation:Economic and Technological Research Institute, State Grid Chongqing Electric Power Company, Chongqing 401120, China;New Energy Branch, Chongqing Jiahui Investment Ltd., Chongqing 401120, China
Abstract:To overcome the shortcomings of traditional quasi-Z-source inverters(QZSI) in boost capability and power coordination control capability, this paper proposes an Energy-Storage Switched-Inductor QZSI(ES-SLQZSI) which combines energy storage battery and switching inductor QZSI, improves the boost ratio and power coordination capability of the system. An ES-SLQZSI power control strategy based on Finite Control Set-Model Predictive Control(FCS-MPC) is proposed in this paper. Maximum Power Point Tracking (MPPT) and Output Power were controled in Single-stage Conversion System. Firstly, the predictive function and cost function of the controller are designed based on the discrete-time model of ES-SLQZSI system. Then, the photovoltaic power MPPT module and the output power management module are designed to decouple with the cost function. Finally, the proposed control algorithm is verified by simulation. The method is simple to implement and has good dynamic performance without PWM modulator.
Keywords:photovoltaic  quasi-Z-source inverter  Model Predictive Control  switching inductor  battery
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