Stochastic model of voltage variations in the presence of photovoltaic systems
| Autor: | Ashkan Zeinalzadeh, James Yee, Reza Ghorbani |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Low-dropout regulator business.industry 020209 energy Electrical engineering 02 engineering and technology Voltage optimisation Condensed Matter::Mesoscopic Systems and Quantum Hall Effect Topology Voltage controller Pre-charge 0202 electrical engineering electronic engineering information engineering Grid-connected photovoltaic power system Voltage regulation Voltage source business Low voltage |
| Zdroj: | ACC |
| DOI: | 10.1109/acc.2016.7526151 |
| Popis: | In a grid with high penetration of solar photovoltaic (PV) systems, voltage rises can occur in the distribution system. With the rising demand for solar energy installation, there is a pressing need for utilities to regulate the voltages at low voltage distribution grids. We present a linear model for voltage rise versus PV output power. The voltage rise versus injected power is modeled as a linear combination of gamma random variables. This is achieved by finding sparse bases and clustering the data into subsets based on correlation with those bases. Then fitting a gamma distribution within each subset. We are interested in modeling the voltage rise without ignoring the sparse events in the voltage. We use sparse SVD with l1 penalty to model sparse voltage rises. |
| Databáze: | OpenAIRE |
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