Effective PV Output Fluctuation Smoothing Based on Frequency Analysis and Different Weather Patterns

dc.contributor.advisorDavid Yu
dc.contributor.committeememberSeyed Hosseini
dc.contributor.committeememberChiu Law
dc.creatorKuo, Kuei Hsu
dc.date.accessioned2025-01-16T18:03:23Z
dc.date.issued2017-05-01
dc.description.abstractAs the Hybrid Energy Storage System (HESS) has the advantages of both power-based and energy-based energy storage devices. It is suitable for a microgrid to smooth the power fluctuation. Analyze the power data of a grid-connected photovoltaic (PV) power station. This research considers grid-connected PV requirements to join the HESS and take advantage of the HESS charge and discharge characteristics to reduce the problems caused by light intensity and temperature change of grid-connected PV power output fluctuations. Using battery optimization control strategies to reduce power and capacity of the HESS configuration. This paper Analyze the effect evaluation when HESS rated power and capacity changed. In addition, proposed a strategy that using methods to decide the most representative day among a year. Fast Fourier Transform (FFT) is applied to transform the solar radiation to the frequency domain. The simulation results verify the feasibility of this strategy and method.
dc.description.embargo2017-12-22
dc.embargo.liftdate2017-12-22
dc.identifier.urihttp://digital.library.wisc.edu/1793/85829
dc.relation.replaceshttps://dc.uwm.edu/etd/1502
dc.subjectEnergy Storage System
dc.subjectFrequency Analysis
dc.subjectPhotovoltaic
dc.subjectPower Fluctuation Smoothing
dc.titleEffective PV Output Fluctuation Smoothing Based on Frequency Analysis and Different Weather Patterns
dc.typethesis
thesis.degree.disciplineEngineering
thesis.degree.grantorUniversity of Wisconsin-Milwaukee
thesis.degree.nameMaster of Science

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