Performance of DVR Using Optimized PI Controller Based Gradient Adaptive Variable Step LMS Control Algorithm

A custom power device known as dynamic voltage restorer (DVR) has been investigated to operate a distribution system at its desired performance. The distribution system with voltage-related power quality issues in the supply side has been addressed through this article using DVR. Four different grid...

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Vydáno v:IEEE journal of emerging and selected topics in industrial electronics (Print) Ročník 2; číslo 2; s. 155 - 163
Hlavní autoři: Appala Naidu, Talada, Arya, Sabha Raj, Maurya, Rakesh, Padmanaban, Sanjeevikumar
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptive control
Algorithms
Control algorithms
Control theory
Digital video recorders
Dynamic voltage restorer (DVR)
Electric power distribution
Estimation
gradient adaptive-variable step-size least mean square (GAVS-LMS)
Heuristic algorithms
Machine learning
Microprocessors
Optimization
Performance evaluation
Power harmonic filters
Power quality
proportional and integral (PI) controller
Robust control
sag
Self tuning
Topology
unbalance
voltage compensation
Voltage control
Voltage regulators
Voltage sags
ISSN:2687-9735, 2687-9743
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Shrnutí:A custom power device known as dynamic voltage restorer (DVR) has been investigated to operate a distribution system at its desired performance. The distribution system with voltage-related power quality issues in the supply side has been addressed through this article using DVR. Four different grid disturbances, such as voltage sag, swell, unbalances, and distortions, have been taken into account while testing the DVR capability. DVR has been controlled using optimized proportional and integral (PI) gains integrated with gradient adaptive variable learning rate least mean square control algorithm. Adaptiveness of variable step-size in LMS makes the control robust in case of dynamics in the system, which assures better performance. Also, the other major contribution of this article is the implementation of optimization-based self-tuning PI gains in the proposed control. The evaluation of optimizer in estimating the PI gains is presented in terms of the response of dc-link voltage DVR. The simulation work of proposed control algorithms on DVR has been done and satisfactory results are found. For the experimental validation, d-SPACE made Micro Lab Box is used as control processor, and both dynamic and steady-state results are discussed for its effectiveness.
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ISSN:2687-9735
2687-9743
DOI:10.1109/JESTIE.2021.3051553