北京四方继保自动化股份有限公司,北京 100085
[ "刘凯彤(通信作者)1992-,女,硕士,工程师研究CFD流体散热仿真技术E-mail:liukaitong@sf-auto.com" ]
[ "任兴旺1981-,男,本科研究直流配网换流阀、储能变流器、储能系统集成技术E-mail:renxingwang@sf-auto.com" ]
[ "李 思1990-,男,硕士研究储能变流器设计技术E-mail:lisi@sf-auto.com" ]
[ "薛晓婕1995-,女,硕士研究流体散热仿真技术E-mail:xuexiaojie@sf-auto.com" ]
[ "任晓娜1985-,女,本科,中级工程师研究大功率电力设备结构设计技术E-mail:renxiaona@sf-auto.com" ]
[ "高 健1980-,男,本科,高级经济师研究储能电站集成技术研究E-mail:gaojian@sf-auto.com" ]
[ "王 一1987-,男,博士,高级工程师研究电力电子、电能质量治理、柔性输配电技术E-mail:wangyi01@sf-auto.com" ]
收稿:2023-12-29,
修回:2024-03-25,
纸质出版:2024-05-30
移动端阅览
刘凯彤,任兴旺,李思,等.储能变流器功率模块散热系统的性能提升研究[J].新型电力系统,2024,02(2):179-189.
LIU Kaitong,REN Xingwang,LI Si,et al.Research on Performance Improvement of Cooling System of Power Conversion System Power Module[J].New Type Power Systems,2024,02(02):179-189.
刘凯彤,任兴旺,李思,等.储能变流器功率模块散热系统的性能提升研究[J].新型电力系统,2024,02(2):179-189. DOI: 10.20121/j.2097-2784.ntps.230050.
LIU Kaitong,REN Xingwang,LI Si,et al.Research on Performance Improvement of Cooling System of Power Conversion System Power Module[J].New Type Power Systems,2024,02(02):179-189. DOI: 10.20121/j.2097-2784.ntps.230050.
:功率模块作为储能变流器的功率变换核心组成部分,在运行过程中会产生大量的热量,优良的散热是保证设备可靠运行的关键。通过数值模拟和实验验证的方法对储能变流器功率模块散热系统的性能提升进行研究。运用数值分析方法对比7种系统变量的换热性能提升效果,提取最佳参数组合,创建优化模型。结果表明,散热器的散热性能是影响系统散热性能的主要因素。在本文的计算工况内,优化模型相比于原始模型的散热优化度最大为13%,热源最高温度降低6℃。通过建立1:1的实验模型对优化模型进行性能提升验证,结果表明散热优化度为11%,热源最高温度降低4℃,验证了优化模型的散热性能提升效果。
2
As the core component of the power conversion of the energy storage converter
the power module will generate a lot of heat during operation
and excellent heat dissipation is the key to ensure the reliable operation of the equipment. The performance improvement of the power module cooling system of the energy storage converter is studied by numerical simulation and experimental verification. Numerical analysis method was used to compare the heat transfer performance improvement effects of 7 system variables
extract the best parameter combination
and create an optimization model. The results show that the heat dissipation performance of the radiator is the main factor affecting the heat dissipation performance of the system. Compared with the original model
the maximum heat dissipation optimization degree of the optimized model is 13%
and the maximum heat source temperature is reduced by 6 ℃. The performance of the optimized model was verified by establishing a 1∶1 experimental model,the experimental results show that the heat dissipation optimization degree is 11%
and the maximum heat source temperature is reduced by 4 ℃
which verifies the heat dissipation performance improvement effect of the optimization model.
傅质馨 , 李紫嫣 , 朱俊澎 , 等 . “双碳”目标下需求侧管理机制研究综述及展望 [J ] . 电力信息与通信技术 , 2023 , 21 ( 2 ): 1 - 12 .
FU Zhixin , LI Ziyan , ZHU Junpeng , et al . Overview and prospect of demand side management mechanism under “dual carbon” goal [J ] . Electric Power Information and Communication Technology , 2023 , 21 ( 2 ): 1 - 12 .
张智刚 , 康重庆 . 碳中和目标下构建新型电力系统的挑战与展望 [J ] . 中国电机工程学报 , 2022 , 42 ( 8 ): 2806 - 2818 .
ZHANG Zhigang , KANG Chongqing . Challenges and prospects for constructing the new-type power system towards a carbon neutrality future [J ] . Proceedings of the CSEE , 2022 , 42 ( 8 ): 2806 - 2818 .
LOPES J A P , MADUREIRA A G , MATOS M , et al . The future of power systems:challenges,trends,and upcoming paradigms [J ] . WIRes Energy and Environment , 2020 , 9 ( 3 ): e368 .
ZHANG T H , LIU S Y , QIU W Q , et al . KPI-based real-time situational awareness for power systems with a high proportion of renewable energy sources [J ] . CSEE Journal of Power and Energy Systems , 2022 , 8 ( 4 ): 1060 - 1073 .
刘吉臻 . 支撑新型电力系统建设的电力智能化发展路径 [J ] . 能源科技 , 2022 , 20 ( 4 ): 3 - 7 .
LIU Jizhen . Development path of power intelligence supporting the construction of new power system [J ] . Energy Science and Technology , 2022 , 20 ( 4 ): 3 - 7 .
ZHANG B L , HAO R H , SHAO C , et al . Research on the evaluation index system of the rational utilization rate of Gansu new energy under the background of double-carbon [C ] // Proceedings of 2021 International Conference on Power System Technology . Haikou,China : IEEE , 2021 : 171 - 175 .
彭占磊 , 杨之乐 , 杨文强 , 等 . 电化学储能参与电力系统规划运行方法综述 [J ] . 综合智慧能源 , 2022 , 44 ( 6 ): 37 - 44 .
PENG Zhanlei , YANG Zhile , YANG Wenqiang , et al . Review on planning and operation methods for power system with participation of electrochemical energy storage systems [J ] . Integrated Intelligent Energy , 2022 , 44 ( 6 ): 37 - 44 .
宋宽宽 , 郭寅远 , 陈卓 , 等 . 储能变流器效率提升研究 [J ] . 现代电子技术 , 2023 , 46 ( 13 ): 167 - 170 .
SONG Kuankuan , GUO Yinyuan , CHEN Zhuo , et al . Research on efficiency improvement of energy storage converter [J ] . Modern Electronics Technique , 2023 , 46 ( 13 ): 167 - 170 .
吴杰伟 . T型三电平储能功率变流器装置研制 [D ] . 北京 : 北方工业大学 , 2020 .
WU Jiewei . Development of T-type three-level energy storage power converter system [D ] . Beijing : North China University of Technology , 2020 .
周力民 , 张海龙 , 刘博嘉 , 等 . 适用于严苛环境的储能变流器散热方案研究 [J ] . 机械工程师 , 2021 ( 1 ): 115 - 118 .
ZHOU Limin , ZHANG Hailong , LIU Bojia , et al . Study on heat dissipation of PCS suitable for harsh environment [J ] . Mechanical Engineer , 2021 ( 1 ): 115 - 118 .
唐春秀 , 李旭阳 , 刘博嘉 , 等 . 储能变流器功率模组的优化设计及散热仿真分析 [J ] . 电工技术 , 2022 ( 10 ): 76 - 79,90 .
TANG Chunxiu , LI Xuyang , LIU Bojia , et al . Optimization design and thermal simulation analysis of power module of converter [J ] . Electric Engineering , 2022 ( 10 ): 76 - 79,90 .
刘博嘉 , 周力民 , 张 超 , 等 . 储能变流器产品散热结构设计 [J ] . 电子世界 , 2021 ( 10 ): 116 - 118 .
LIU Bojia , ZHOU Limin , ZHANG Chao , et al . Energy storage converter product cooling structure design [J ] . Electronics World , 2021 ( 10 ): 116 - 118 .
黄立平 , 赖成毅 , 李梁艳 , 等 . 基于CFD的储能变流器功率单元结构和散热研究 [J ] . 电力电子技术 , 2023 , 57 ( 3 ): 69 - 72 .
HUANG Liping , LAI Chengyi , LI Liangyan , et al . Research on power unit structure and heat dissipation of energy storage converter based on CFD [J ] . Power Electronics , 2023 , 57 ( 3 ): 69 - 72 .
王玉坤 , 刘吉营 , 吴小虎 . 电子元件中板翅式散热器梯形翅片的优化研究 [J ] . 东北电力大学学报 , 2023 , 43 ( 5 ): 85 - 92 .
WANG Yukun , LIU Jiying , WU Xiaohu . Optimization of trapezoidal fin of plate-fin radiator in electronic components [J ] . Journal of Northeast Electric Power University , 2023 , 43 ( 5 ): 85 - 92 .
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621