Research On Intelligent Reconstruction Of Photovoltaic Arrays Under Partial Shading Based On Heuristic Algorith

Currently,as primary energy reserves are diminishing,the demand for renewable energy is on the rise.Among these sources,solar energy stands out as one of the most promising.In particular,photovoltaic(PV)generation has emerged as a critical technology in the field of solar power.However,due to the intermittent and uncertain nature of PV generation,one of the main obstacles facing practical application of PV systems is the mismatch between PV modules caused by partial shading(PS).This can lead to damaged PV modules,hot spot problems,shortened service life,and economic losses.Thus,this paper aims to address these issues by focusing on optimizing the output power of PV systems under PS.Firstly,the principle of PV generation technology and the composition and classification of PV system are summarized and analyzed,the mathematical model of PV cells is established,and the MATLAB/Simulink model of PV array under both uniform irradiation and PS is established.Simulation experiments are conducted to investigate why the energy generated by PV arrays under PS cannot be fully utilized,and to explain the influence of PS on the output power and characteristics of PV arrays.Secondly,several classic PV reconfiguration technologies are introduced,which show some advantages in solving the adverse impact of PS on the output power of PV array.However,static reconfiguration technology is not scalable enough to apply to PV arrays of different scales,while existing dynamic reconfiguration technology has strong randomness and is easy to obtain local optimal solutions,and the optimistic effect needs to be improved.Therefore,this paper intends to develop a meta-heuristic algorithm with strong global searching ability and high stability for dynamic reconfiguration.Based on the analysis of different topologies of PV arrays,total cross tied(TCT)interconnected PV array model with high output efficiency is established,and the PV reconfiguration evaluation criteria and PV reconfiguration implementation method used in this paper are explained in detail.Then,an efficient socio-inspired democratic political algorithm(DPA)is proposed for PV reconfiguration.The irradiance level on the PV array is evenly distributed by changing the electrical connection inside the PV array to balance the line current of PV array.In view of the poor stability of the algorithm and its tendency to fall into local optimum during iteration,the optimization mechanism of algorithm is proposed.Discrete design of DPA is carried out based on PV reconfiguration,and the objective function and constraint conditions are constructed,and the whole process of DPA for PV reconfiguration is also given.Finally,to comprehensively evaluate the superior performance of the DPA reconfiguration method,this study compares the optimal reconfiguration performance of DPA with six other meta-heuristic algorithms on four PV arrays of different scales,based on ten irradiance cases.The simulation results demonstrate that DPA can significantly enhance the output power of PV array and reduce mismatch losses.The output characteristic curves tend to exhibit a single peak,and the power optimization results are superior to those of other methods.