L-M Based ANN for Predicting the Location of DG under Contingency Condition-Reference-Cited by-同舟云学术

L-M Based ANN for Predicting the Location of DG under Contingency Condition

Published:2023-12-24 Issue:4 Volume:11 Page:1204-1208
ISSN:2347-470X
Container-title:International Journal of Electrical and Electronics Research
language:en
Short-container-title:IJEER

Author:

Rao D. Uma Maheswara¹,Rao Dr. G. Sambasiva¹,Swarnasri Dr. K.¹

Affiliation:

1. Department of EEE, R.V.R & J.C. College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, India

Abstract

The continuing monitoring of online voltage stability and the increased loadability of the transmission lines for the existing electrical power system are the two major challenges that today's energy management systems must deal with. As a result, evaluating online voltage stability under various loading situations is extremely challenging and time-consuming. The line voltage stability indices using an Artificial Neural Network (ANN), the system describes online voltage monitoring and warns the operator before voltage dips. The simulation's findings show that the proposed system may boost system loadability while also lowering the cost of installing an electrical power system and guaranteeing the security of power system operation.

Publisher

FOREX Publication

Subject

Electrical and Electronic Engineering,Engineering (miscellaneous)

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