Effective PV Output Fluctuation Smoothing Based on Frequency Analysis and Different Weather Patterns
Date of Award
May 2017
Degree Type
Thesis
Degree Name
Master of Science
Department
Engineering
First Advisor
David Yu
Committee Members
Seyed Hosseini, Chiu Law
Keywords
Energy Storage System, Frequency Analysis, Photovoltaic, Power Fluctuation Smoothing
Abstract
As 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.
Recommended Citation
Kuo, Kuei Hsu, "Effective PV Output Fluctuation Smoothing Based on Frequency Analysis and Different Weather Patterns" (2017). Theses and Dissertations. 1502.
https://dc.uwm.edu/etd/1502