Study on Island Detection Method of Distribution Generation System Based on Logistic Regression

JIANG Yuanyu; XU Jianyuan; CHEN Haoran; YI Wei; MA Shuo

doi:10.14044/j.1674-1757.pcrpc.2018.04.033

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Study on Island Detection Method of Distribution Generation System Based on Logistic Regression

更新时间：2024-09-14

- Study on Island Detection Method of Distribution Generation System Based on Logistic Regression
- POWER CAPACITOR & REACTIVE POWER COMPENSATION Vol. 39, Issue 4, Pages: 198-203(2018)
- 作者机构：
  
  沈阳工业大学
- 作者简介：
- 基金信息：
- DOI：10.14044/j.1674-1757.pcrpc.2018.04.033
  CLC： TM732
- Published：2018，
- 稿件说明：
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[1]蒋元宇,徐建源,陈浩然,易伟,马硕.基于逻辑回归的分布式发电系统孤岛检测方法研究[J].电力电容器与无功补偿,2018,39(04):198-203.

JIANG YUANYU, XU JIANYUAN, CHEN HAORAN, et al. Study on Island Detection Method of Distribution Generation System Based on Logistic Regression. [J]. Power capacitor & reactive power compensation, 2018, 39(4): 198-203.
[1]蒋元宇,徐建源,陈浩然,易伟,马硕.基于逻辑回归的分布式发电系统孤岛检测方法研究[J].电力电容器与无功补偿,2018,39(04):198-203. DOI： 10.14044/j.1674-1757.pcrpc.2018.04.033.

JIANG YUANYU, XU JIANYUAN, CHEN HAORAN, et al. Study on Island Detection Method of Distribution Generation System Based on Logistic Regression. [J]. Power capacitor & reactive power compensation, 2018, 39(4): 198-203. DOI： 10.14044/j.1674-1757.pcrpc.2018.04.033.

摘要

孤岛运行现象会危害电力系统的安全稳定运行

在发生孤岛运行现象时需在规定的时间内将其监测出来。本文将逻辑回归算法引入到孤岛运行监测中。首先在Matlab环境下建立精确的分布式发电系统模型

该模型考虑各种可能出现的孤岛运行状态

最小可监测区域

多个分布式电源

多种操作条件和不同的网络拓扑结构

然后利用各种孤岛运行条件下的数据特征量在tensorflow环境下对模型进行训练

最后利用训练好的模型进行孤岛运行状态监测

结果表明了该方法的可行性。

Abstract

Island operation circumstance can endanger safe and stable operation of power system and its occurrence needs to be monitored with the specified time. In this paper

the logical regression algorithm is introduced to the island operation monitoring. Firstly

the accurate distribution generation system model is set up in the environment of Matlab. The model considers various possible island operating states

minimum monitoring area

multiple distributed power supplies

various operating conditions and different network topologies

and then trains the model by the use of data feature quantity under various island operating conditions in the tensor flow environment. Finally

the trained model is used to monitor the island status and feasibility of the method is shown by the result.

关键词

孤岛逻辑回归数据挖掘张量流

Keywords

islandlogistics regressiondata miningtensor flow

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