Abstract
From the perspective of renewable energy industry investment, absorbing maximum power from renewable sources is a vital factor. Hence, an algorithm is required to change the operating point of renewable energy sources in different environment conditions accordingly. This paper proposes a novel algorithm for tracking the Maximum Power Point (MPP) of a Photovoltaic (PV) panel. In this paper, an auxiliary parameter based on the voltage and power of the PV panel is suggested. By adopting this parameter, independence of irradiation and temperature, the interval between the operating point and the MPP can be estimated. Furthermore, the range of the MPP voltage variations is calculated with respect to various irradiations and temperatures. Then, a novel fuzzy logic Maximum Power Point Tracking (MPPT) algorithm is proposed based on the introduced parameter and voltage variations interval of the MPP. The proposed algorithm has appropriate respond to environment condition changes with proper speed and accuracy. In addition, unlike Hill Climbing (HC) and Perturb and Observe (P&O), the proposed method has no chattering in steady state. The abovementioned claims are successfully validated via the software MATLAB/Simulink.
Highlights
The energy demand is enlarging enormously due to the growth of industry and increase of world population
If the dp dv thereshold selected 2.7, at the irradiation of 500 W·m−2, the point B will be identified as a far operating point and a high value for Voltage Change Step Size (VCSS) will be selected by the algorithm
As the parasitic elements are included in the simulation, the reference voltage is not followed through the Eq (1) and PI controller is utilized to determine duty cycle
Summary
The energy demand is enlarging enormously due to the growth of industry and increase of world population. Power fluctuation during MPP determination process and low convergence speed are some of the most important drawbacks of this method. The proposed algorithm improves convergence speed and eliminates parameter dependency, this method requires accurate sensors which increases the costs of the system. Complexity, reduction of convergence speed at low irridations, and requirement of panel parameters are the most important disadvantages of the presented method. In [32], a hybrid method based on IC and fuzzy controller had been presented which has low speed at low irradiations and high temperature, unconvenient dynamic response at the environmental condition changes, chattering, and low accuracy. Presents the implementation of the proposed MPPT algorithm based on the FLA, PV panel voltage, and auxiliary parameter.
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.
