|
|
|
| Research on the parameters identification of the electrothermal current detection method in the micro circuit breaker |
| He Jiayu, Zong Ming |
| College of Electrical Engineering, Shenyang University of Technology, Shenyang 110870 |
|
|
|
|
Abstract With the development of intelligent electrical appliances, MCCB and ACB have different degrees of intelligence, only MCB limited by volume, cost and other factors have been difficult to achieve intelligent control. This paper uses the method of electrothermal current detection, according to Solidworks software to establish a black-box model which located in the traditional MCB in the bimetallic sheet, instead of bimetallic chip detection current, to achieve real-time current intelligent detection. Firstly, the thermal power component struck by the normal operation of the MCB and the parameters that need to be identified were determined by the principle of thermal balance and its transfer function, and the data of heating power and temperature rise was obtained by using Matlab/Simulink software to simulate, and the size of the parameters was determined by the recursive least square, After determining the parameters of the black-box model, the current value can be predicted based on the temperature rise data, so as to realize the real-time monitoring of the current.
|
|
Received: 11 December 2019
|
|
|
|
| Cite this article: |
|
He Jiayu,Zong Ming. Research on the parameters identification of the electrothermal current detection method in the micro circuit breaker[J]. Electrical Engineering, 2020, 21(6): 50-55.
|
|
|
|
| URL: |
|
https://dqjs.cesmedia.cn/EN/Y2020/V21/I6/50
|
[1] 胡绍兵. 国内外智能低压断路器的研究现状与发展趋势[J]. 煤矿机电, 2013(5): 52-54.
[2] 何瑞华. 我国低压断路器现状与发展动向[J]. 电工文摘, 2010(1): 1-5.
[3] 李响. 智能断路器理论方法与关键技术的研究[D]. 武汉: 武汉理工大学, 2008.
[4] 刘洪涛, 张灿煜, 郭天昊, 等. 智能断路器在线监控系统的研制分析[J]. 佳木斯职业学院学报, 2016(4): 491.
[5] Newbury J, Gargan S.Two-way communications systems in the electricity supply industry[J]. IEEE Transactions on Power Delivery, 1998, 13(1): 53-59.
[6] 孙鹏, 马少华. 电器学[M]. 北京: 科学出版社, 2012.
[7] 李丹, 张代润, 杨林. 电磁继电器温升特性的仿真研究[D]. 大连: 大连理工大学, 2014.
[8] 李林, 余意平. 塑壳断路器温升变化的影响因素[J]. 电工电气, 2012(11): 62-64.
[9] 丁锋. 系统辨识算法的复杂性、收敛性及计算效率研究[J]. 控制与决策, 2016, 31(10): 1729-1741.
[10] 罗琴琴, 苏建徽, 林志光, 等. 基于递推最小二乘法的虚拟同步发电机参数辨识方法[J]. 电力系统自动化, 2019, 43(1): 215-224.
[11] 赵锐. 最小二乘法估计感应电机参数的研究[J]. 电气技术, 2018, 19(3): 26-30.
[12] 强明辉, 张京娥. 基于Matlab的递推最小二乘法辨识与仿真[J]. 自动化与仪器仪表, 2008(6): 4-5, 39.
[13] 程婵娟. 系统辨识的线性规划方法研究[D]. 厦门: 厦门大学, 2009.
[14] 张爱民, 张航, 陈德桂, 等. 基于系统辨识的电子设备建模及其应用[J]. 电工技术学报, 2009, 24(8): 1-5, 21.
[15] 张占学. 基于最小二乘法的pH值温度补偿模型[J]. 电气技术, 2015, 16(2): 115-117. |
|
|
|
2020, Vol. 21 
