Modeling and control strategy for grid integrated distributed generation systems with maximum power extraction capabilty

2014 ◽  
Vol 6 (2) ◽  
pp. 101
Author(s):  
NS Jayalakshmi ◽  
DN Gaonkar
2020 ◽  
Vol 53 (2) ◽  
pp. 14028-14033
Author(s):  
Micha S. Obergfell ◽  
Steven X. Ding ◽  
Frank Wobbe ◽  
Christoph-Marian Goletz ◽  
Michael Folkers ◽  
...  

2014 ◽  
Vol 26 (2) ◽  
pp. 323-331 ◽  
Author(s):  
Pinpin Lu ◽  
Xiaojian Zhang ◽  
Chiqian Zhang ◽  
Zhangbin Niu ◽  
Shuguang Xie ◽  
...  

2007 ◽  
Vol 31 (1) ◽  
pp. 127-141
Author(s):  
Yonghong Tan ◽  
Xinlong Zhao

A hysteretic operator is proposed to set up an expanded input space so as to transform the multi-valued mapping of hysteresis to a one-to-one mapping so that the neural networks can be applied to model of the behavior of hysteresis. Based on the proposed neural modeling strategy for hysteresis, a pseudo control scheme is developed to handle the control of nonlinear dynamic systems with hysteresis. A neural estimator is constructed to predict the system residual so that it avoids constructing the inverse model of hysteresis. Thus, the control strategy can be used for the case where the output of hysteresis is unmeasurable directly. Then, the corresponding adaptive control strategy is presented. The application of the novel modeling approach to hysteresis in a piezoelectric actuator is illustrated. Then a numerical example of using the proposed control strategy for a nonlinear system with hysteresis is presented.


2021 ◽  
Vol 297 ◽  
pp. 01023
Author(s):  
Ghizlane Traiki ◽  
Abdelmounime El Magri ◽  
Rachid Lajouad ◽  
Omar Bouattane

A nonlinear control of a PV Energy Conversion System (PVECS) with energy storage system and maximum power extraction is presented. The control strategy is designed in two steps. Firstly, a MPPT algorithm is designed to tracking the maximum power point in variable irradiations, battery state of charge (SOC) and load changes. Then, thanks to its many advantages such as simplicity against parameter uncertainties, a Sliding Mode Control approach (SMC) is applied to control the standalone PV energy conversion system. Finally, the performances of MPPT techniques and SMC controller in the closed loop are checked using the MATLAB/SIMULINK.


2013 ◽  
Vol 433-435 ◽  
pp. 1061-1064
Author(s):  
Hai Liu ◽  
Qing Fu Du ◽  
Yong Song ◽  
Wei Guo

This paper presents a detailed review of the existing methods of the optimal control of distributed generation system and the state of the art of current research. The research of the optimal control of distributed generation system is summarized in terms optimal dispatch and control strategy. The approach of modeling and analysis for distributed generation system is described in detail. The key difficulties of the theory and technique about the optimal control of distributed generation system are analyzed. The current issues about the optimal control of the system are pointed out at last, and the research orientations of the optimal control of distributed generation system are presented.


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