THD and Reactive Power Compensation Using Neural Network Based DSTATCOM

Abstract

This paper investigates on distribution static compensator (DSTATCOM) to compensate total harmonic distortion (THD) and reactive power. Fixed hysteresis current control (HCC) technique is designed for regulating DSTATCOM. In fixed HCC, the current error signal is minimized using fixed upper and lower hysteresis band limit. The current error signal is difference of actual and reference currents. Effective compensation of DSTATCOM is achieved by control of current error signal. Under dynamic load conditions, the fixed HCC exhibits poor performance. This work explores the application of neural network to minimise current error signal and for improving compensation of the DSTATCOM under dynamic load conditions. The reliability of the system is validated in matlab/simulink environment.

Authors and Affiliations

P. Mahes Kumar, Dr. M. Sudhakaran

Keywords

Related Articles

Designing and Analysis of Brake Drum

The brake drum is a specialized brake that uses the concept of friction to decelerate .The deceleration is achieved by the assistance of the friction generated by a set of brake shoes or pads. During the brake operation...

Ensemble based Classification Techniques for Concept Drifting in Continuous Data Stream: A Survey

Data Stream Mining is a process of extracting and analyzing the hidden, predictive, knowledge based information from the rapid, fast moving and raw data streams. The technical areas of data stream mining process include...

Mathematical Modelling and Simulation of Brushless DC Motor Using MATLAB

Due to high efficiency, low maintenance and high torque the BLDC motor are used in many industrial and traction application. It is also an alternate motor for brushed DC motor and induction motor. In this paper the thre...

Wirelessly Control Robotic Arm Using Fusion Band

Robots make our life easier. Engineering are up to the challenge, and over the past few years they have developed robotic hands with unprecedented strength and sensitivity. Sensor plays an important role in robotics. Ro...

CBR Improvement of Soil by Adding Lime and Fly Ash

The quality and life of pavement is greatly affected by the type of sub grade ,sub base and base course materials. The most important of these are type and quality of sub grade soil. But in India most of flexible paveme...

Download PDF file
  • EP ID EP22564
  • DOI -
  • Views 242
  • Downloads 5

How To Cite

P. Mahes Kumar, Dr. M. Sudhakaran (2016). THD and Reactive Power Compensation Using Neural Network Based DSTATCOM. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 4(8), -. https://www.europub.co.uk/articles/-A-22564