The Algorithm Research Of Photovoltaic System Maximum Power Point Tracking And Its Implementation

Solar photovoltaic system has become one of the hot fields in new energy research.In this paper, in order to obtain the maximum power of solar cells, photovoltaic systemswere discussed and analyzed. By comparing the known maximum power point tracking(MPPT) algorithms, micro‐controller‐unit system for verifying was built. Consequently, wehave deepened the understanding the effect of photovoltaic and appreciated the excellentalgorithm technology for the contribution of green design.The model of photovoltaic cells was established by using Simulink embeddedfunction in Matlab, the I‐V and the P‐V characteristics of photovoltaic cells were analyzed.Besides, the circuit model of Boost for research MPPT was abstracted. By the Combinationof two models, photovoltaic system's basic MPPT principle was simulated.The three classical MPPT algorithms, such as Perturbation and Observation (P&O),Incremental Conductance Algorithm (ICA) and Fuzzy Control (FC), were compared. For thefirst and the second algorithms, we scanned voltage variable with three different dutycycle steps (small, medium, large), and then observed the two key dependent variables(trace delay and power fluctuation). The simulation results show ICA is slightly better thanP&O, but the size of the tracking step will affect the dynamic and static performances, andthe trade‐off design was more difficult to find.The MPPT algorithm based on FC was emphases focused and discussed. The keytechnology adopted artificial neural network to generate fuzzy control rule by using themeasured data. Comparing with P&O and ICA in simulation, we can see that FC has betterdynamic and static performances (trace delay and the power fluctuations are reduced by35.6% and 1.1%).By the aid of self‐established micro‐controller‐unit system, the P&O method wasverified successfully, and the maximum power point was found accurately. What is more,we also analyzed the technical feasibility of the MPPT algorithm based on FC with hardware and software.Simulation results show that the performance of the complex FC MPPT algorithm isindeed better than P&O and ICA methods. By the achievements of software and hardwaredesign, a simple algorithm such as P&O method is conducted easily.This attempted work may benefit to accelerate the photovoltaic MPPT research formicroelectronic system integration and basic data accumulation.