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Application Of Facts Devices For Power Quality Improvement In Power Transmission System

Authors: Sahota*1, Bhagwant Singh;

Application Of Facts Devices For Power Quality Improvement In Power Transmission System

Abstract

Today in the modern era the energy is generated via different mediums and their transmission is dependent upon the way the next other side wants the signal. When transmitting the signal, the signal can be distorted because of the many power and transmission quality problems. Due to this, drop in the voltage occurs in the line which creates an oscillating wave that results to reduce the PF (power factor). The FACTS devices are used to solve this problem earlier. But drawback also occurs while injecting the voltages in the power lines. At this time different hybrid combinations of FACTS devices can be used to make the transmission more secure and can cross long distances. In this research work, the STATCOM and IPFC controller are used for making the power constant even after the long transmission and dropouts in voltage. The main goal is to maintain the voltage regulation in the power line which increases the performance and thus power factor also increases. Various FACTS device (STATCOM and IPFC) can be used to maintain the constant electricity transmission without the slur, degradation or low power factor. Hence the FACTS devices can be used to make power travel over a long distance in the transmission medium. The main goal of this research is to study and analyze the FACTS devices and then control power flow. Three transmission lines are used of various lengths and different load is attached with the individual line. The model is designed in the SIMULINK MATLAB tool. The parameters such as voltage and power loss (reactive power and active power) are measured with optimization and without optimization. Here, we are applying Genetic algorithm to reduce the fluctuations in the voltage and obtained constant voltage.

Keywords

: FACT devices, STATCOM, IPFC, SIMULINK, GA.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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