Investigating the Dynamic Security of Power System to Detect System Stability or Instability by Using Neural Network

Reza Bagheri Ghahvachi

doi:10.7176/ncs/10-02

Abstract

Modern power systems are very complex due to constant variations of the load. These systems are constantly exposed to internal and external disturbances that can cause system instability. The process of determining the stability of a system under turbulence is called security assessment. In other words, the security assessment of the power system is performed to determine the stability or instability of the system. The security assessment of the power system is a combination of static and dynamic security analysis. One of the ways to determine the dynamic security is to find the critical time to fix the fault. This time is a combination of functions with many variables, so its acquisition is relatively difficult. In addition, finding and evaluating the critical time of fault correction requires detailed and timely computations. Therefore, data classification can be used as the best option for assessing the security of a power system. Data classification, sampled data and computational time reduces security assessment. In this paper, three methods are used for classifying data. These methods include: least squares (correlation), Kohonen neural network and wavelet transform. The use of these methods eliminates the problems and issues that traditional methods have. If the classification of data is correct with the methods mentioned for input patterns and the critical times to correct the existing fault, then these methods can be used to determine the critical lines of the new input patterns without performing detailed calculations of transient stability. Keywords: Power System - Neural Network - Dynamic Security - Critical Fault Time DOI : 10.7176/NCS/10-02 Publication date :July 31 st 2019

Highlights

The trend of increasing electric energy consumption and the need for reliable energy through the economic use of production resources has brought about changes in the network
It should be noted that, unlike other laws and regulations in electrical engineering, the bases for analyzing power systems are based on hypotheses and methods that have gained years of experience
Modern power systems have a lot of characteristics, such as production in higher capacity units and far away from the place of production and place of use, which can be done for economic reasons, but on sustainability the system has a negative effect

Summary

Introduction

The trend of increasing electric energy consumption and the need for reliable energy through the economic use of production resources has brought about changes in the network. Modern power systems have a lot of characteristics, such as production in higher capacity units and far away from the place of production and place of use (prolongation of power lines), which can be done for economic reasons, but on sustainability the system has a negative effect Another characteristic of modern electricity production, which requires dynamic studies, is that for the maximum use of investments in the production of today's systems, the production in the electricity industry is usually at its highest capacity, this system stability issue Power low. To determine the correlation between work patterns, the deviation index based on the least squares criterion can be used as follows:

N N i 0 x ji x ki

NL NL i 0

Conclusion