基于Logistic快速最小误差熵算法的配电变压器停电预测
摘要：为了提高配电变压器停电预测的速度和准确性，提出了一种基于Logistic快速最小误差熵算法的配变停电预测方法。在最小熵回归算法的基础上，提出了快速最小误差熵算法，基本保持了最小熵回归的回归效果，并且显著地减少了算法的运行时间；针对配变停电预测适用Logistic回归的情况，提出了基于Logistic的快速最小误差熵回归算法，选取配电变压器重过载时长、最大有功负载率、平均有功负载率、平均三相不平衡度以及重三相不平衡度作为配变停电预测的特征变量数据，建立了配电变压器停电预测模型，实验预测结果优于Logistic回归。
Abstract:In order to improve the speed and accuracy of distribution transformer outage prediction, a distribution transformer outage prediction method based on Logistic fast minimum error entropy algorithm was proposed. Aiming at the problem that the basic minimum entropy regression algorithm runs too slowly, a fast minimum error entropy algorithm was proposed, which can keep the same regression effect as the minimum entropy regression, and greatly reduce the running time of the algorithm. In view of the application of Logistic regression in outage prediction, a fast minimum error entropy regression algorithm based on logistic was proposed, and the weight of distribution transformer was selected. The overload duration, maximum active load rate, average active load rate, average three-phase unbalance degree and heavy three-phase unbalance degree were used as the characteristic variable data of distribution transformer outage prediction. A distribution transformer outage prediction model was established, and the effect was found to be better than Logistic regression in the comparative experiment.
标题：基于Logistic快速最小误差熵算法的配电变压器停电预测
title:Distribution Transformer Outage Prediction Based on Logistic Fast Minimum Error Entropy Algorithm
作者：许中, 栾乐, 莫文雄, 罗思敏, 叶宗林, 陈超, 赖轩达, 解明辉
authors:Zhong XU, Le LUAN, Wenxiong MO, Simin LUO, Zonglin YE, Chao CHEN, Xuanda LAI, Minghui XIE
关键词：Logistic快速最小误差熵,配电变压器,停电预测,
keywords:Logistic fast minimum error entropy,distribution transformer,outage prediction,
发表日期：2022-04-30
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