POSSIBLE APPLICATIONS OF NEURAL NETS TO POWER-SYSTEM OPERATION AND CONTROL

被引：16

作者：

KALRA, PK

SRIVASTAVA, A

CHATURVEDI, DK

机构：

[1] Department of Electrical Engineering, Indian Institute of Technology, Kanpur

[2] Faculty of Engineering, Dayalbagh Educational Institute, Agra, 282 005, Dayalbagh

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 1992年 / 25卷 / 02期

关键词：

D O I：

10.1016/0378-7796(92)90096-J

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 [电气工程]; 0809 [电子科学与技术];

摘要：

Problems related to power system operation and control are complex and time consuming because of the non-linearities involved in their formulation and solution. Fast solutions to these problems can be obtained only through parallel processing. Neural nets provide massive parallel processing facilities and may also be used efficiently to model systems with non-linearities. The capabilities of neural nets can, therefore, be well utilized in modelling and processing problems related to power systems. In order to reduce the burden on computers, algorithms involving optimization and complex equations can be converted to heuristics. These heuristics can then be represented in terms of rules and an expert system can be built, with the added advantage of obtaining solutions in a time intensive fashion. This paper studies the application of neural nets to problem solving in power system operation and control, and demonstrates how present methods for solving such problems can be converted to the neural net approach.

引用

页码：83 / 90

页数：8

共 20 条

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