Temperature and Humidity Control System for Pole-Mounted Metering Circuit Breaker with Artificial Neural Network Methods

Mirza Ghulam Ahmad, Moh. Zaenal Efendi, Rachma Prilian Eviningsih
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Abstract

Pole-mounted Metering Circuit Breaker (PMCB) is a medium voltage protection device. Problems in the PMCB because operating at medium voltage causes insulation problems. The isolation problem that arises is due to partial discharge. Partial discharge can trigger the risk of flashover. In addition, corona discharge causes corrosion of the conductor, the effect is a failure and disconnection of electricity. This control system aims to maintain the temperature and humidity of the PMCB at the nominal values according to the standard. Based on SPLN D3.021-1:2020, it is known that under normal service conditions, the ambient air temperature does not exceed 40°C and the average temperature for 24 hours does not exceed 35°C and the highest relative humidity is 100% RH. The control system uses an AC voltage controller which is used to control the input voltage of the heater and exhaust fan so that the temperature and humidity can reach nominal operating conditions. The control method used is an artificial neural network (ANN) to find the ignition angle of the AC voltage controller as a TRIAC control. The test results using the ANN control method, system simulation produces a temperature error of 1.029% and humidity error of 2.48% and the hardware system produces a temperature error of 2.364% and humidity error of 8.673% compared to the set point temperature of 35°C and humidity of 50% RH. It can be concluded that the ANN control method can maintain the PMCB temperature and humidity according to standards
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基于人工神经网络的杆式计量断路器温湿度控制系统
杆式计量断路器(PMCB)是一种中压保护装置。由于在中压下工作导致PMCB出现绝缘问题。出现的隔离问题是由于局部放电造成的。局部放电会引发闪络的危险。此外,电晕放电引起导体的腐蚀,其效果是失效和断电。该控制系统的目的是根据标准保持PMCB的温度和湿度在标称值。根据SPLN D3.021-1:2020,已知在正常使用条件下,环境空气温度不超过40℃,24小时平均温度不超过35℃,最高相对湿度为100% RH。控制系统采用交流电压控制器,控制加热器和排风机的输入电压,使温度和湿度达到标称工作条件。控制方法采用人工神经网络(ANN)作为可控硅(TRIAC)控制来确定交流电压控制器的点火角。测试结果表明,采用人工神经网络控制方法,与设定温度35℃,湿度50% RH相比,系统仿真产生的温度误差为1.029%,湿度误差为2.48%,硬件系统产生的温度误差为2.364%,湿度误差为8.673%。结果表明,人工神经网络控制方法可以使PMCB的温度和湿度保持在标准范围内
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审稿时长
10 weeks
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