摘要
针对恶性负荷多为阻性负荷,且其导纳较大的特点,提出一种基于导纳特征和遗传算法的负荷识别方法.选取负荷导纳作为识别特征量,构造判断负荷运行情况的适应度函数,利用遗传算法寻优,得到满足条件的负荷运行概率.计算多种情况下功率因数及其偏离值.根据编码值得到不同情况下的识别结果.实验结果表明该文方法能对负荷进行有效识别.
A load identification method based on the admittance characteristics and genetic algorithm was proposed to solve the problem that most malignant loads were resistive loads and their admittance was large.The load admittance was selected as the identification characteristic quantity,and the fitness function was constructed to judge the load operation condition.The genetic algorithm was used to optimize the load operation probability which met the conditions.The power factor and its deviation in various cases were calculated.According to the coding value the recognition results under different conditions were obtained.Experimental results showed that the proposed method was effective for load identification.
作者
孙珂
张新燕
谭敏刚
汤奕
SUN Ke;ZHANG Xinyan;TAN Mingang;TANG Yi(College of Electrical Engineering,Xinjiang University,Urumqi 830047,China;School of Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;School of Electrical Engineering,Southeast University,Nanjing 211189,China)
出处
《安徽大学学报（自然科学版）》
CAS
北大核心
2021年第4期64-70,共7页
Journal of Anhui University(Natural Science Edition)
基金
国家自然科学基金资助项目(51667018)。
关键词
负荷识别
导纳特征
功率因数
遗传算法
load identification
admittance characteristics
power factor
genetic algorithm
