Research On Mpp Of Partially Shaded Pv System Based On Svr Algorithm

Solar energy is a new type of green and renewable energy, photovoltaic power generation industry has good future prospects. However, due to low solar cell energy conversion and voltage characteristics of highly nonlinear, so the research has the global search ability of MPPT control algorithm to achieve the maximum output of photovoltaic power generation system is to increase the efficiency of photovoltaic cells key.Actual PV system influenced by the external environment, there is randomness of the system output, especially local conditions such as partially shaded or uneven illumination, these phenomenon of loss will not only affect the power output of PV systems but also leads to security and reliability problem. Further more,under partially shaded conditions, the P-V curve of PV arrays will have the characteristics of multi-summit, which makes the conventional MPPT algorithm is disabled. Support Vector Machine has the advantages of global solutions, good adaptability and high generalization ability in theory. In this paper, support vector regression algorithm is used to predict the maximum power point tracking.This paper analyzes the circuit model and the photovoltaic output characteristics,in this based on the simulation of the solar arrays,analyzed and reviewed at home and abroad under the conditions of partially shaded maximum power algorithm research.After analyzing factor affecting the change of the position of MPP,the theory of SVM regression is presented.Characteristics of photovoltaic arrays for the emergence of multi-extremal problem is proposed based on support vector machine regression prediction model for maximum power.Simulation results show that SVM model has high accuracy and efficiency.In Matlab/Simulink to establish SVR prediction model based on MPPT of photovoltaic control system,simulation results demonstrate the effectiveness of the algorithm. Finally, the hardware circuit of the control system is constructed through the use of AVR micro-processor. All experiments in outdoor lighting conditions and partially shaded under the circumstances.Experimental results show that the system is stable ,changes in the environment a better response capability.