An international research team has tested a hybrid control technique that combines adapted Perturb and observes (APO) with model-predictive control to tackle complex partial shadow in solar arrays. The method, validated by simulation and physical experiments, reportedly performs better than existing approaches.
Research led by scientists from the Chinese University of Petroleum (East -China) has developed a new maximum Power Tracking (MPPT) technology for PV systems under complex partial shadow conditions.
The new APO-MPC technology combines adapted PERTURB and observing with model predictive control. The team developed the approach in Matlab/Simulink and validated it through real-time hardware implementation.
“The algorithm was implemented and tested under various climate profiles such as uniform radiation conditions (UIC), simple PSCs (SPSCs), CPSCs and Veldatmospheric data sets,” the researchers said. “The algorithm was then evaluated and compared in addition to other MPPT techniques such as PO, APO, IC, FLC, GWO and MPC using experimental validation based on criteria such as convergentie speed, global maximum power point (GMPP) tracking, efficiency, efficiency, efficiency, efficiency, efficiency, efficiency, efficiency, efficiency, efficiency, efficiency, and general complexity”
In the APO phase of the algorithm, the system calculates the number of shaded modules and estimates the possible number of power peaks. It then uses a variable step size and determines the reference flow. The MPC phase follows, with the help of a predictive model of the boost -to predict the following output current. It does this by solving an optimization problem and then updating the Duty cycle.
With the help of Matlab/Simulink, the group connected six photovoltaic modules in a string. Bypass diodes were installed with each module and a blocking period was added to prevent the reverse power current. The MPPT operating schedule adjusts the Duty cycle to optimize the switching status of the DC-DC-Boost-Omzetter for setting up the input voltage. Tension wrinkles generated by the converter are limited with the help of passive components.
The system was tested in Matlab/Simulink under three UIC, SPSCs and CPSC patterns, and later under seasonal radiation details of Lahore, Punjab, Pakistan. In all cases, the system was compared with various other MPPT techniques in the literature, including PO, APO, IC, MIC, IIC and CMPC. In the final step, an experimental arrangement was exposed to various radiation scenarios.
“The results show that the APO-MPC excels in GMPP tracking on different weather conditions, which achieves an average tracking efficiency of 99.46% under all shadow effects,” the researchers said. “In comparison with other techniques, the rapid convergence within 0.19 s, improved fortress time of 0.24 S, reduced steady-state oscillations (SSOs) of 0.30 W, and an improvement of 2% to 13% in power generation. On the hardware installation of 97.14% achieved with a stacking effective achieved with a STACKINGFICIATE OF SETINGFICIENT Output, exhibition SSOS around 0.33 W.
The researchers said: “The proposed approach performs better than all other techniques, which presents the shortest rise time, the lowest calculation time, minimum power scillations and the highest tracking efficiency, while effectively maintaining the GMPP to ensure optimum power of the power of the Power, and the Maximum Tracking, and the Powering, and the Powering, and the Powering, and the Powering, and the Powering, and the Powering, and the Powering, and the Powering, and the Powering -The Powering, and the Powering -The Powering, and the Powering, and the Powering -The Powering, and the Powering -The Powering -The Powering -The Powering -The Maxale Portals, and The Powering -Efficies, and the Powering -Efficies, and the Powering -Effications, and the Powering -Efficies -Eff. Power -Power).
They presented their results in “Performance -Validation of global MPPT for efficient power extraction via PV system under complex partial shadow effects“Which was recently published in Scientific reports. Scientists from the Chinese University of Petroleum (East -China),
The University of Johannesburg of South Africa, India’s Saveetha Institute of Medical and Technical Sciences, Chitkara University, Jordan’s Applied Science Private University, Université de Moncté of Canada, Gabon’s International Institute of Technology and Management (IIDG) and Saudi have the study.
This content is protected by copyright and may not be reused. If you want to work with us and reuse part of our content, please contact: editors@pv-magazine.com.
