科技创新与应用2024，Vol.14Issue(20)：8-12,5.DOI:10.19981/j.CN23-1581/G3.2024.20.002
基于优化组合方法的光伏台区电能质量预警方法研究
刘牛 1钱星旭 1单光瑞 1王惠娟 1胡登宇2
作者信息
- 1. 国网江苏省电力公司 镇江供电分公司,江苏 镇江 212002
- 2. 南京理工大学 自动化学院,南京 210094
- 折叠
摘要
Abstract
The increasing number of distributed generation aggravates the problems of power quality.In order to ensure power quality,reasonable early warning of power quality is of great significance.In this paper,a photovoltaic power quality early warning model based oncombinatorial optimization method is proposed.Firstly,aiming at the power quality index of photovoltaic station,a clustering model is established by using SOM(Self-Organizing Map)neural network algorithm,and the classification results and corresponding clustering centers are obtained.Then,the Otsu method maximum inter-class variance method)improved based on genetic algorithm is used to determine the early warning threshold of all kinds of power quality indicators,and the power quality early warning system based on optimal combination method is constructed.Finally,the power quality data of a photovoltaic station in Jiangsu Province are simulated,and the results show that the proposed method has good adaptability and can be effectively applied to power quality early warning.关键词
电能质量/SOM神经网络/遗传算法/Otsu法/仿真计算Key words
power quality/SOM neural network/genetic algorithm/Otsu method/simulation calculation分类
信息技术与安全科学引用本文复制引用
刘牛,钱星旭,单光瑞,王惠娟,胡登宇..基于优化组合方法的光伏台区电能质量预警方法研究[J].科技创新与应用,2024,14(20):8-12,5.
