Research on Optimal Control of Power System Based on Improved Neural Network

被引：0

作者：

Rong, Li ^{[1
]}

机构：

[1] Hunan Univ Sci & Engn, Sch Elect & Informat Engn, Yongzhou, Hunan, Peoples R China

来源：

AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 01期

关键词：

Improved neural network; power system; optimization; control; PARTICLE SWARM OPTIMIZATION; PREDICTION; ALGORITHM; AREA;

D O I：

暂无

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

The research of power system optimal control based on improved neural network is of great significance. In this paper, the subject of power system optimal control based on improved neural network was analyzed. The main contents of gray system theory and improved neural network theory were introduced. At the same time, the main contents and research methods of distributed voltage optimization system were expounded. Finally, the research results were analyzed and discussed. The results show that the application of partitioned parallel algorithm can improve the operating efficiency of power system, and provide a favorable direction for future power system control and optimization.

引用

页码：876 / 880

页数：5

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