A unified power quality conditioner for power quality improvement in distributed generation network using adaptive distributed power balanced control (ADPBC)

Author:

Mohanraj M. R.1,Prakash R.2

Affiliation:

1. Department of EEE, Excel College of Engineering and Technology, Nammakal, Tamil Nadu, India

2. Department of EEE, Vivekananda College of Engineering for Women, Tiruchengode, Tamil Nadu, India

Abstract

Power quality improvement is one of the central and critical needs in all types of power-driven industries for perfect utilization of sources. However, fundamental inconveniences in power quality have been recognized, for instance, sags, swells, harmonic distortions and different blocks. Among those, sags and swells are overwhelmingly uncovered, and each influences the electrical gadgets or electrical machines and this requires to be compensated with an advancement to ensure any mal-operation or disappointment. To settle these troubles, custom power gadgets are used like unified power quality conditioner (UPQC), dynamic voltage restorer (DVR) and Distributed Static Compensator (DSTATCOM). This work aims to update the power quality in both single-phase and three-phase system using UPQC. The capacity of UPQC to mitigate voltage sag, voltage swell, responsive power remuneration, load balancing, zero voltage direction, and power factor redress and Total Harmonics Distortion (THD) in the appropriation framework is done by utilizing adaptive distributed power balanced control (ADPBC) method. This investigation works on the single-phase UPQC design to utilize two H-connect setups with eight switches and the three-phase UPQC arrangement to use four legs and three-phase four wire course of action. The overall function of the UPQC with distributed generation (DG) system will be able to compensate for the offset voltage and current disturbances with all the compensated data being collected and verified in Internet of Things (IoT) based on conditional Random Fields (CRFs).

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Information Systems,Signal Processing

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