Performance Evaluation Research Of PV System Based On A Modified Incremental Conductance Algorithm

In recent years,with the environmental pollution and energy crisis,two major issues highlighted,people gradually realize that to achieve their long-term development,we must take the road of sustainable development.In order to cope with the above problems,human focus on the development of new energy technologies,new energy industry and its related industries,the long-term development trend is great.Solar energy is an ideal renewable energy,it has no noise,no pollution,energy available and inexhaustible,from geographical restrictions,short construction period,the scale of design freedom and so on.Solar energy is the most important energy source for all kinds of renewable energy.Others,such as biomass,wind energy,ocean energy and water energy,are derived from solar energy in a broad sense.Studies have shown that the direct solar radiation to the Earth’s energy is rich,widely distributed,renewable,pollution-free,is recognized by the international community the ideal alternative energy.Therefore,with the national policy support efforts continue to increase,the performance analysis of photovoltaic power generation system is becoming increasingly important.Firstly,the principle and classification of the photovoltaic power generation system are briefly introduced.The factors that affect the efficiency of photovoltaic(PV)system are divided into environmental factors and their own factors.And based on the photovoltaic data given by a mainstream PV manufacturer,a multi-parameter photovoltaic system is modelled from these two aspects.Then,the principle of maximum power point tracking(MPPT)of PV system is introduced,and four kinds of MPPT control methods are studied.On these basis,a modified incremental conductance technique is presented,which can accelerate the power convergence speed and realize the maximum power point tracking of the output characteristic in the face of the sudden change of the photovoltaic intensity.And it is also superior to the traditional conductivity increment method in the stability of the algorithm.Finally,based on the common performance indexes of PV system,the index system of PV system performance evaluation based on principal component analysis and entropy weight method is proposed respectively.The data fusion algorithm based on maximum likelihood estimation criterion is used to combine the two evaluation models.The validity of the proposed model is proved by the comparison between MATLAB simulation results and SPSS software simulation results.