Voltage Control in the Presence of Photovoltaic Systems
Ashkan Zeinalzadeh, Reza Ghorbani, James Yee

TL;DR
This paper introduces a stochastic model for voltage rise caused by photovoltaic systems, and proposes a controller that effectively reduces voltage fluctuations at the point of common coupling, improving grid stability during high solar output.
Contribution
It develops a novel gamma distribution-based stochastic model for voltage rise and presents a new voltage control method utilizing this model for better regulation.
Findings
The model accurately predicts voltage rise under various conditions.
The proposed controller outperforms conventional regulators during high PV output.
Voltage fluctuations are significantly reduced with the new control approach.
Abstract
In the past decade, the landscape of energy production has had to shift to accommodate renewables. Which, unlike fossil fuels, are subject to frequent fluctuations; potentially destabilizing grid operators. With the continued demand for solar PV system installation, there is a pressing need for utilities to regulate the voltages at the low voltage distribution grids. We develop a stochastic model for voltage rise as a function of injected power into the grid. This model is formed as a linear combination of gamma random variables. This is achieved by finding sparse bases and clustering the data into subsets by its correlation with those bases, and fitting a gamma distribution within each subset. We are concerned with modeling voltage rise, while taking into account sparse events in the voltage. We use sparse singular value decomposition (SVD) with penalty to model sparse voltage…
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Taxonomy
TopicsPhotovoltaic System Optimization Techniques · Microgrid Control and Optimization · Optimal Power Flow Distribution
