Performance Analysis of TCSC with Firing Angle Determination Based on Random Forest Algorithm

Niharika Agrawal¹ , Faheem Ahmed Khan² , Mamatha Gowda³

1. Electrical and Electronics Engineering, Ghousia College of Engineering ,VTU, Ramanagaram, India.
2. Electrical and Electronics Engineering, Ghousia College of Engineering, VTU, Ramanagaram, India.
3. Electrical and Electronics Engineering Department, BGS College of Engineering & Technology, VTU, Bengaluru, India.

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.4 , pp.16-25, Dec-2022

Online published on Dec 31, 2022

Copyright © Niharika Agrawal, Faheem Ahmed Khan, Mamatha Gowda . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
In order to meet the rising power demand, the options are to increase the generation and transmission facilities or to install more power plants. But installation of new power stations is costly matter and needs huge investment. So, it is desired to increase the power transfer capacity of the existing system. In the proposed work the use of fixed capacitors and Power -Electronics-based series FACTS device TCSC are done to increase the power transfer capacity of the system. The key contribution of this paper is the firing angle prediction by Random Forest Machine Learning Algorithm (RFMLA) for the various modes of TCSC. The trained data of input power and angle is loaded into the system and then firing angle prediction is done over the new data. Many decision trees are created for the input power and firing angle using MATLAB coding. The final value of firing angle is selected by the algorithm. The power flow and THD results are shown. FFT analysis tool in Powergui block is used to calculate THD voltage without compensation and then after using TCSC, combination of both FC and TCSC. The main issues and challenges in today’s smart power systems are meeting power demand and power quality problems like voltage sag and voltage swell created due to disturbances or faults, stability, contingency and congestion management with taking care of environment. The TCSC is capable of meeting all these challenges. The novelty here is the appropriate prediction of firing angle based on RFMLA.

Key-Words / Index Term :
Capacitor, Inductive ,Power quality, Total Harmonic Distortion, Voltage

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