scholarly journals Analysis of THD according to Output Power Fluctuation of Photovoltaic Generation System using Real Time Simulator

2012 ◽  
Vol 61 (3) ◽  
pp. 361-366 ◽  
Author(s):  
Hee-Jin An ◽  
Hun-Chul Seo ◽  
Chul-Hwan Kim
Keyword(s):  
Real Time ◽  
Output Power ◽  
Generation System ◽  
Power Fluctuation ◽  
Photovoltaic Generation

A New Control Algorithm for Maximum Power Point Tracking of Photovoltaic Generation System

2011 ◽  
Vol 305 ◽  
pp. 230-234
Author(s):  
Xin Sheng He ◽  
Chun Fu Gao ◽  
Bin Wang ◽  
Zhi Yong Luo
Keyword(s):  
Output Power ◽  
Control Algorithm ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Generation System ◽  
Maximum Power Point ◽  
Photovoltaic Generation ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In order to maximize the power of photovoltaic generation system, it is necessary to track the maximum power point (MPP). A new control algorithm of photovoltaic (PV) was proprosed, which applied constant voltage tracking method (CVT) to adjust the working point around the MPP and ensure fast tracking when external conditions or loads changed suddenly. The algorithm used the optimal gradient method (OG) to make optimization of the steady-state characteristic and could effectively reduce the output power of photovoltaic array oscillation around maximum power point tracking (MPPT). The experiment and simulation results show that the proposed algorithm could track the MPP rapidly and accurately. And also could improve the energy conversion efficiency of PV generation system by reducing the output power oscillation around MPP.

Ultra-Short-Term Ahead Generating Power Forecasting for PV System Based on Markov Chain for Error Series

2011 ◽  
Vol 347-353 ◽  
pp. 1498-1505
Author(s):  
Xiang Yu Zhang ◽  
Chang Hong Deng ◽  
Tian Tian Chen
Keyword(s):  
Markov Chain ◽  
Output Power ◽  
Electrical Engineering ◽  
Solar Irradiation ◽  
Generation System ◽  
Short Term ◽  
Pv System ◽  
Stochastic Effects ◽  
Photovoltaic Generation ◽  
Satisfactory Precision

This article presents a proper approach for the prediction of output power for photovoltaic generation system. Using the results of solar irradiation from the sunny-day-model as the base value, which are accurate when the sky is clear, and correcting the forecasting results with the assistance of Markov Chain in order to make them valid for other kinds of weathers. To be specific, by utilizing Markov Chain, the underlying stochastic effects of clouds coverage can be minimized and thus harvest more accurate results. The method is tested on the photovoltaic generation system of Electrical Engineering School, Wuhan University, P.R.China and rendered a satisfactory precision of forecasting. Finally, further measurements for enhancing accuracy are also discussed in this paper.

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