Development of Adaptive Artificial Neural Network Security Assessment Schema for Malaysian Power Grids

Ahmed N Al-Masri,Ali Saadon Al-Ogaili,Mohd Zainal Abidin Ab Kadir,Yap Hoon

doi:10.1109/access.2019.2957884

Abstract

The mission of the power system operator has become more complicated than before due to increasing load demand, which causes power systems to operate near their security limits. The deregulation of electricity markets, which requires independent system operation driven by economic considerations, is still an essential requirement of modern power systems. This study presents an enhanced model of developed adaptive artificial neural network (AANN) technique for security enhancement of Malaysian power grids, inclusive of a remedial action (generation redispatch/load shedding) at any scale of system operation. Automatic data knowledge generation systems for AANN inputs and data selection and extraction methods are developed. Results show that the proposed AANN can provide the required amount of generation redispatch and load shedding accurately and promptly for computing large sample data.

Highlights

The security of power system operations remains an essential issue in many countries
This study aims to develop an artificial neural network (AANN) application module based on the artificial neural network (ANN) algorithm
A long training is required to reach the expected results, and it is required for one time once the AANN is installed into the system

Summary

Introduction

The security of power system operations remains an essential issue in many countries. Normal operations are imperative to ensue in any post-contingency situation. Checking the security of power systems requires tools that quantify power system safety concerns arising from operational interferences. Power system security assessment encompasses static security assessment (SSA) and dynamic security assessment (DSA). An SSA involves security situation factors, such as overload and overvoltage. During the post-contingency conditions via the load flow calculation of the power system. DSA analyses the post-fault transient stability of the power system in real time [1]–[3]

Objectives

Results

Conclusion