摘要
针对数字化电能计量系统中的误差检测问题,提出一种基于改进遗传算法的自动检测方法。首先,建立电能计量系统的数学模型,确定检测指标和误差阈值;其次,使用改进的遗传算法优化电能计量系统的参数,利用遗传算法的搜索能力快速找到最优解;最后,通过比较计量结果与理论值之间的误差来判断是否存在异常情况。实验结果表明,该方法能够有效检测数字化电能计量系统的误差,具有较高的准确性。
Aiming at the problem of error detection in digital energy metering system,an automatic detection method based on improved genetic algorithm is proposed.Firstly,the mathematical model of electric energy measurement system is established,and the detection index and error threshold are determined.Secondly,the improved genetic algorithm is used to optimize the parameters of the energy metering system,and the search ability of genetic algorithm is used to quickly find the optimal solution.Finally,the error between the measurement result and the theoretical value is compared to determine whether there is any abnormal situation.The experimental results show that this method can effectively detect the errors of digital energy metering system and has high accuracy.
作者
杨正泰
龙逸群
YANG Zhengtai;LONG Yiqun(Huanggang Power Supply Company of State Grid Hubei Electric Power Co.,Ltd.,Huanggang Hubei 438000,China)
出处
《信息与电脑》
2023年第15期132-134,共3页
Information & Computer
关键词
遗传算法
数字化
电能计量误差
自动检测
genetic algorithm
digitization
electric energy measurement error
automatic detection
