NEURAL-NET BASED REAL-TIME CONTROL OF CAPACITORS INSTALLED ON DISTRIBUTION-SYSTEMS

被引：105

作者：

SANTOSO, NI ^{[1
]}

TAN, OT ^{[1
]}

机构：

[1] LOUISIANA STATE UNIV,ELECT ENGN,BATON ROUGE,LA 70803

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 1990年 / 5卷 / 01期

关键词：

Distribution automation; Neural networks; Optimum capacitor control;

D O I：

10.1109/61.107283

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An expert system using a two-stage artificial neural network is proposed to control in real time the multitap capacitors installed on a distribution system for a nonconforming load profile such that the system losses are minimized. The required input data are directly obtained from on-line measurements which include the active and reactive line power flows, voltage magnitudes, and the current capacitor settings at certain buses. The optimum control does not involve any iteration procedure, therefore, it is computationally very efficient. Studies on a 30 bus distribution test system show the expert system to have quite satisfactory results. © 1989 IEEE

引用

页码：266 / 272

页数：7

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