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多功能并网逆变器的预测-等效滑模控制策略

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为满足分布式发电系统中新能源消纳和电能质量治理的需求,对多功能并网逆变器(multifunctional grid-tied inverter,MTGTI)兼具电能质量治理功能的关键技术进行研究,针对传统控制方案中补偿电流检测方法精度不高、控制跟踪效果较差的问题,提出一种基于改进型滑模的整体控制方案.首先,将平均值算法引入基于FBD(Fryze-Buchholz-Depenbrock)功率理论的谐波及无功检测方法,提高了补偿电流检测的精度及响应速度,从而提升指令电流的准确度.然后,在滑模控制(sliding mode control,SMC)的基础上结合模型预测控制(mode predictive control,MPC),提出预测-等效滑模控制策略,进一步提高了多功能并网逆变器对复杂指令电流的高精度快速跟踪的控制性能.最后,基于MATLAB/Simulink仿真平台,在并网、负载不平衡、负载突变等不同状态下,验证所提整体控制方案的可行性及有效性.
MPC-SMC-based Control Scheme of the MFGTI
In order to meet the demands of renewable energy resources intake and power quality enhancement of distributed generation systems,the key technologies of the multi-functional grid-tied inverter(MFGTI)with power quality management function were studied.To address the problems of low precision of compensation current detection method and poor tracking effect of control method in traditional control scheme,an integrated control scheme based on improved sliding mode control was proposed.Firstly,the mean value algorithm was introduced into the harmonic and reactive power detection method based on the Fryze-Buchholz-Depenbrock(FBD)power theory to improve the accuracy and response speed of the compensation current detection,so as to enhanced the accuracy of command current.Then,based on the sliding mode control(SMC)and the mode predictive control(MPC),the MPC-SMC strategy was proposed,which further improved the high precision and fast tracking control performance of the MFGTI for the complex reference current.Finally,based on MATLAB/Simulink,the proposed control scheme was verified through simulation under different conditions.The results confirm the effectiveness and feasibility of the proposed control strategies.

multi-functional grid-tied inverter(MTGTI)power quality enhancementharmonic detectionFryze-Buchholz-Depenbrock(FBD)power theorysliding mode control

陈磊、王聪、董增波、王涛、闫丽、张国驹、王育哲、李守翔

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国网河北省电力有限公司石家庄供电分公司,石家庄 050051

国网河北省电力有限公司,石家庄 050000

中国科学院电工研究所,北京 100190

北京理工大学自动化学院,北京 100081

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多功能并网逆变器(MTGTI) 电能质量治理 谐波检测 FBD功率理论 滑模控制

国家电网科技项目

kj2022-072

2024

科学技术与工程
中国技术经济学会

科学技术与工程

CSTPCD北大核心
影响因子:0.338
ISSN:1671-1815
年,卷(期):2024.24(12)
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