Abstract
For the classical maximum power point tracking algorithm, the setting of small step increases the speed of maximum power tracking of photovoltaic power generation system and the stability of operation in stable state. To solve this problem, this paper designs a maximum power point tracking system based on booster circuit, and adopts fuzzy auto-disturbance rejection control to improve the conductance increment method with variable step length. Based on the relationship between the rate of conductance change and the maximum power point conductance, the step size of the adrc is adjusted by using the fuzzy logic control. The MPPT system of photovoltaic power generation is designed by combining the incremental conductance method and the improved fuzzy control method with the correction factor. The control method does not depend on the mathematical model of the system, the design is flexible, the control effect is robust, stable and accurate. It can be used for reference for other types of solar photovoltaic power generation control system.
Highlights
Solar energy because of its potential in clean long features more and more get people's attention and recognition, photovoltaic cells as taking solar energy as the main energy products, with the traditional battery don't have clean lasting advantages
Disturbance observation affected by disturbance step length, perturbation step size is small, tracking speed slow perturbation step size is larger, after reach the maximum power point larger oscillation, causes the power loss conductance increment method has fast tracking speed faster, but more complex and intelligent algorithm of sensor accuracy requirement high has a higher requirement to the controller, operation more, implementation is more complicated
The maximum power point tracking model is established in Matlab/simulink environment by using the auto-disturbance rejection conductance increment method of fuzzy control
Summary
Solar energy because of its potential in clean long features more and more get people's attention and recognition, photovoltaic cells as taking solar energy as the main energy products, with the traditional battery don't have clean lasting advantages. Disturbance observation affected by disturbance step length, perturbation step size is small, tracking speed slow perturbation step size is larger, after reach the maximum power point larger oscillation, causes the power loss conductance increment method has fast tracking speed faster, but more complex and intelligent algorithm of sensor accuracy requirement high has a higher requirement to the controller, operation more, implementation is more complicated. Adrc [8] is a control algorithm to deal with disturbances It is a nonlinear control method based on error feedback. It does not rely on the accurate mathematical model of the system, and it can make better estimation and compensation for the unmodeled dynamics and unknown disturbances of the system [9]. The ADRC controller is mainly consists of three parts: tracking differentiator (TD), extended state observer (ESO), nonlinear state error feedback (NLSEF) [8]. The first-order ADRC controller of NLSEF error gain coefficient of βis not easy to adjust, under the condition of variable disturbance conditions need to manually adjust the parameters, this is not conducive to the practical application so this article will be used in the design of ADRC controller, fuzzy control using fuzzy rules of NLSEF parameters setting, achieve the goal of online modification parameters, is advantageous to the ADRC controller in the practical engineering application
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
