Abstract
This paper develops a maximum power point tracking (MPPT) algorithm to optimize photovoltaic (PV) array performance and make it more compatible to rapidly varying weather conditions. In particular, a novel extremum seeking controller (ESC), which uses a Bode ideal cutoff (BICO) filter in its structure, is designed and tested on a simulated PV array. The new algorithm is compared against the commonly used ESC MPPT algorithm with first-order filters. The BICO extremum seeking controller achieves transient rise to the MPP faster than the common extremum seeking MPPT, which is the faster and more robust method among all other methods. This claim has been discussed and proved mathematically in this paper, in addition to simulation illustrations. This faster extremum seeking algorithm enables PV systems to detect rapid variations in the environmental conditions like irradiation and temperature changes.
Highlights
The PV cells exhibit a nonlinear V-I characteristics as shown in Figure 1 and their power output mainly depends on the nature of the connected load
Since extremum seeking control has better features and performance compare to Perturb and Observe (P&O) which is the best known maximum power point tracker (MPPT) algorithm, in this paper, the improvement of better than the best MPPT algorithm has been investigated
We have considered the similar stability analysis approach as [34] to compare the stability and robustness of Bode ideal cutoff (BICO)-extremum seeking controller (ESC)
Summary
The PV cells exhibit a nonlinear V-I characteristics as shown in Figure 1 and their power output mainly depends on the nature of the connected load. There are many different maximum power point tracking techniques for photovoltaic systems which are well established in the literature [4,5,6,7,8,9,10,11] These techniques vary in many aspects as simplicity, convergence speed, digital or analogical implementation, sensors required, cost, range of effectiveness, and other aspects. The most popular and workhorse MPPT algorithm is P&O, because of its balance between performance and simplicity It suffers from the lack of speed and adaptability which is necessary for tracking the fast transients under varying environmental conditions [3]. A promising new robust MPPT algorithm is the method of extremum seeking (ES) control, which carries all P&O’s benefits like simplicity and performance, and in addition, improves its weaknesses [3]. Since extremum seeking control has better features and performance compare to P&O which is the best known MPPT algorithm, in this paper, the improvement of better than the best MPPT algorithm has been investigated
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
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.
