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Proceedings ArticleDOI

Power Quality Mitigation in Weak AC Grid with Low X/R Ratios using Distribution Static Compensator Controlled by LMF Algorithm

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TLDR
In this paper, a solution to mitigate power quality issues in the weak grid to minimize the effect of low X/R ratio at a higher level of WE penetration using distribution static compensator (DSTATCOM) controlled by a least mean fourth (LMF) algorithm is presented.
Abstract
Penetration of WE sources into the weak AC grid with low X/R ratio in the presence of unbalanced loads is a major cause of poor power quality (PQ). In such a scenario, WE penetration with higher levels becomes a significant challenge in the utility grid. This paper presents a solution to mitigate power quality issues in the weak grid to minimize the effect of low X/R ratio at a higher level of WE penetration using distribution static compensator (DSTATCOM) controlled by a least mean fourth (LMF) algorithm. This control algorithm extracting the active and reactive weight component of the unbalanced load current to estimate reference signals, which helps to generate gate pulses for DSTATCOM. The LMF algorithm has been tested successfully for maintaining voltage stability and PQ at a higher level of WE penetration in the weak grid.

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Citations
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Book ChapterDOI

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Effects of X/R on the Power Dynamics of a Rural Distribution System and the economic implications

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References
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Proceedings ArticleDOI

Adaptive Reactive Power Control of DSTATCOM in Weak AC Grid with High Wind Energy Penetration

TL;DR: The fourth-order least mean fourth (LMF) based adaptive control algorithm is proposed for smooth control of real and reactive power requirement by generating switching signals for DSTATCOM to enhance the THE AUTHORS penetration in weak AC grid in the presence of unbalanced load.
Proceedings ArticleDOI

Smooth Grid Synchronization in Weak AC Grid with High Wind Energy Penetration using Distribution Static Compensator

TL;DR: A method to mitigate PQ issues in weak AC grid with high THE AUTHORS penetration using distribution static compensator (DSTATCOM) controlled by an adaptive linear neural network-based least mean square (ADALINE-LMS) control algorithm is presented.
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