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基于MMC-PET的直流微电网综合控制策略
引用本文:赵振民,程静,王维庆,张陵,南东亮.基于MMC-PET的直流微电网综合控制策略[J].太阳能学报,2022,43(10):458-464.
作者姓名:赵振民  程静  王维庆  张陵  南东亮
作者单位:1. 新疆大学电气工程学院,乌鲁木齐 830047;2. 可再生能源发电与并网控制工程技术教育部工程研究中心,新疆大学,乌鲁木齐 830047;3. 国网新疆电力有限公司电力科学研究院,乌鲁木齐 830011
基金项目:新疆可再生能源发电与并网技术自治区重点实验室开放课题(2020D04048); 新疆维吾尔自治区自然科学基金(2018D01C046); 国家自然科学基金(52067020); 新疆高校科研计划(XJEDU2021I010)
摘    要:为提升智能配电网电能质量,提出一种基于模块化多电平型电力电子变压器的直流微网构架及其综合控制策略,对分布式电源并网方式进行简化,设计MMC-PET及风光储系统的控制器,对智能配电网中电压深度跌落、三相不平衡等电能质量问题进行治理。在PSCAD/EMTDC平台搭建基于MMC-PET的直流微网风光储系统仿真模型,进行仿真分析总结,结果表明该方法很大程度地提高了新能源接入适应性,具备更快的动态响应速度和更强的鲁棒性,能有效改善智能配电网电能质量。

关 键 词:直流微网  电能质量  新能源  电力电子变压器  模块化多电平变流器  控制策略  
收稿时间:2021-02-02

RESEARCH ON DC MICROGRID LOMPREHENSIVE CONTROL STRATEGY BASED ON MMC-PET
Zhao Zhenmin,Cheng Jing,Wang Weiqing,Zhang Ling,Nan Dongliang.RESEARCH ON DC MICROGRID LOMPREHENSIVE CONTROL STRATEGY BASED ON MMC-PET[J].Acta Energiae Solaris Sinica,2022,43(10):458-464.
Authors:Zhao Zhenmin  Cheng Jing  Wang Weiqing  Zhang Ling  Nan Dongliang
Affiliation:1. School of Electrical Engineering, Xinjiang University, Urumuqi 830047, China;2. Engineering Research Center of Education Ministry for Renewable Energy Power Generation and Grid Technology, Xinjiang University, Urumuqi 830047, China;3. Electric Power Research Institute of State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China
Abstract:In order to improve the power quality of the smart distribution network, a DC microgrid architecture based on the MMC-PET and its integrated control strategy are proposed. The grid connection mode of distributed power supply is simplified. The controller of MMC-PET, wind and solar storage system is designed to deal with power quality problems such as deep voltage drop and three-phase imbalance in the intelligent distribution network. The MMC-PET based DC microgrid wind and solar storage system simulation model was built on the PSCAD/EMTDC platform, and the simulation analysis is summarized. The results show that the method greatly improved the adaptability of new energy access, and had a faster dynamic response speed and stronger robustness, by which the power quality of smart distribution networks can be effectively improved.
Keywords:
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