A firefly optimized fast extreme learning machine based maximum power point tracking for stability analysis of microgrid with two stage photovoltaic generation system

2016 ◽  
Vol 8 (2) ◽  
pp. 025501 ◽  
Author(s):  
Prachitara Satapathy ◽  
S. Dhar ◽  
P. K. Dash
2011 ◽  
Vol 305 ◽  
pp. 230-234
Author(s):  
Xin Sheng He ◽  
Chun Fu Gao ◽  
Bin Wang ◽  
Zhi Yong Luo

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.


2014 ◽  
Vol 535 ◽  
pp. 97-101
Author(s):  
Chun Xue Wen ◽  
Zhen Zang ◽  
Zheng Xi Li

This paper studied the control strategy of single-phase two-stage grid-connected photovoltaic generation system. The two-stage topology includes the boost converter and single phase inverter. The function of maximum power point tracking (MPPT) is achieved in the boost circuit by IC (Increment Conductance) method. The inverter circuit adopted the double-closed loop control, a DC voltage outer loop control for power balance with PI correction and an AC current inner loop control for feedback designed to ensure the current quality and stabilize the DC voltage. The inner loop used the novel quasi-Proportional-Resonant (PR) controller, which has a better steady tracking characteristics and stronger anti-interference ability to the disturbance. Finally, a simulation system is built with Matlab/Simulink in this paper to verify the validity of the MPPT algorithm and the quasi-PR control strategy.Keywords:Photovoltaic Generation System;Maximum Power Point Tracking; Grid-connected Inverter; quasi-Proportional-Resonant (PR) controller


Sign in / Sign up

Export Citation Format

Share Document