A Comprehensive Power Quality Mitigation Tool: UPQC

Satish, Raavi; Pydi, Balamurali; Balamurali, S; Salkuti, Surender Reddy; Abdelaziz, Almoataz Y.; Feleke, Solomon

doi:10.1007/978-981-99-2066-2_3

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…in RES connected systems. Several FACTS devices have been projected in the literature to discourse power quality issues in RES systems, namely, Active Power Conditioners (APCs), Automatic Voltage Regulators (AVRs), Distribution Static Synchronous Compensators (DSTATCOMs), Dynamic Voltage Restorers (DVRs) and UPQC belong to the category of FACTS controllers and are amid in enhancing performance of power quality due to the following disturbances: Voltage Swells/Sags, Nonlinearities and Harmonics (Satish et al, 2023;Elmetwaly et al, 2020;Pal and Gupta, 2020;Singh B and Kumar R, 2020).…”

Section: Introductionmentioning

confidence: 99%

An Improved Power Quality in a Renewable Energy-based Microgrid System Using Adaptive Hybrid UPQC Control Strategy

LeninBabu,

GowriManohar

2023

IJERR

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Due to its ability to integrate renewable energy, improve energy efficiency, and fortify the power system's resilience, microgrids are widely used as regional energy systems. But these advantages do have certain drawbacks in terms of control and Power Quality (PQ). In order to guarantee the proper operation of equipment that is connected and the system's general health, PQ is crucial in microgrids. For microgrids to operate successfully, governing stratagems in concurrence with front-line power electronics devices bid a firm context to knob PQ challenges like Voltage Sag and Swell, Source/Grid current harmonics, Voltage imbalances, Active and Reactive power compensation etc. Multifunctional systems that can integrate clean energy generation and as well as enhance PQ are necessary to meet the demands of complex loads that have the capability of operating in the situation of an unavailable network grid and power electronics devices, which necessitates the need for clean energy. Hence, this paper provides enactment of an adaptive hybrid control strategy based on an Adaptive Leaky Least Mean Square (AL_LMS) algorithm combined with Fuzzy Logic (FL) to the Unified Power Quality Conditioner (UPQC) in a Solar-PV energy based Microgrid system in improving microgrid power quality. The concert of UPQC is assessed by the conventional PI controller and Fuzzy Logic control with MATLAB/SIMULINK software platform, simulation results are conversed with proportionate studies in improving the PQ by minimizing Total Harmonic Distortion (THD), the Voltage Sag & Swell and the result comparison shows the effectiveness of the Fuzzy Logic in coordination with the AL_LMS algorithm resulting improved power quality within the IEEE Power Quality-519 Standards.

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Section: Introductionmentioning

confidence: 99%

An Improved Power Quality in a Renewable Energy-based Microgrid System Using Adaptive Hybrid UPQC Control Strategy

LeninBabu,

GowriManohar

2023

IJERR

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Design and analysis of UPQC in a microgrid using model reference adaptive control ensemble with back-stepping controller

Das,

Swain,

Dash

et al. 2024

Heliyon

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Power Quality Enhancement in a Grid-Integrated Solar-PV System with a Hybrid UPQC Control Strategy

Chilakapati,

Manohar

2024

jsesd

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The supply grid network has been periodically experiencing frequent problems with Power Quality (PQ), and these problems have gotten worse over time due to the rise of electrical appliances. Thus, supplying consumers with electricity in the custom of sinusoidal voltages and currents that have adequate magnitudes and frequencies near the common point of coupling (PCC) stays one of the Utility system's main responsibilities. Thus, in order to improve PQ in the supply grid network, this article examines the practice of solar-PV coordinated Unified Power Quality Conditioner (UPQC). By means of optimizing the utilization of solar energy and improving PQ, the Solar-PV fed UPQC contributes clean, renewable energy to the grid and solves environmental problems at the same time. This study presents Adaptive Leaky Least Mean Square (AL_LMS) algorithm-based control techniques for UPQC, which include both traditional Proportional-Integral (PI) and Adaptive Neuro Fuzzy Inference System (ANFIS) controllers for UPQC series and shunt active converter switching. This method gets the reference signals with switching on the shunt and series voltage source converters (VSCs) of UPQC by means of iteratively updation of the weights. Accordingly, PQ consternations for instance, voltage sag and swell of load voltage and harmonic distortions of grid current are reduced when control techniques have been applied to solar-PV fed UPQC. This work is carried out in MATLAB/Simulation software, and also the results of simulations demonstrate that the suggested ANFIS controlled AL_LMS algorithm is the most effective at improving power quality while adhering to IEEE-519 Standards when applied to a solar-PV fed UPQC.

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A Comprehensive Power Quality Mitigation Tool: UPQC

Cited by 3 publications

References 32 publications

An Improved Power Quality in a Renewable Energy-based Microgrid System Using Adaptive Hybrid UPQC Control Strategy

An Improved Power Quality in a Renewable Energy-based Microgrid System Using Adaptive Hybrid UPQC Control Strategy

Design and analysis of UPQC in a microgrid using model reference adaptive control ensemble with back-stepping controller

Power Quality Enhancement in a Grid-Integrated Solar-PV System with a Hybrid UPQC Control Strategy

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