Study On Optimal Allocation Of Independent Hybrid Wind/PV Power Generation System

In the great developing modern society,a large consumption of energy resources has resulted in the rapid depletion of mineral fossil fuel resources.Hence,an urgent search for alternative energy sources to meet demands of humans must be started.Clean energy,such as solar energy and wind energy,is one of the most important renewable energy sources.However,due to the dependence and unpredictable nature of the wind and solar energy on weather and environmental changes,the production of solar and wind energy and the consumption period may not meet the time distribution of social energy demand.Therefore,this paper makes use of the hybrid system of solar cells and wind turbines to reduce the fluctuations of their individual system and the costs of energy production,and improve the stability of power supply.The main subjects of research in this paper are as follows:(1)The structure and operation principle of the wind turbine,photovoltaic array and battery power supply respectively have been studied.These power operation processes summed up the difference of time and spatial scale.Moreover,constructed hybrid system of electric power,including the construction of wind power,photovoltaic and battery power which could supply the mathematical model.The mathematical model can accurately reflect the time and space characteristics of three kinds of power supply.The coupling relationship between the power output of each new energy power generating equipment with the change of environment and climate change has been studied,and the quantitative relation of each new energy power generating equipment with the change of environment and climate change was constructed.The simulation module of hybrid solar and wind electric power system was established to support the optimal matching of the system.(2)The particle swarm optimization algorithm based on the cross genetic algorithm(Breed PSO)has been analyzed,and applied this optimal configuration to multi objective optimization matching of the wind solar power generation system.The construction costs of the system were regarded as the optimization objective,and the reliability of power supply was regarded as the constraint condition to set up the optimization model of the system.The MATLAB software was used to realize the optimal algorithm.(3)With the same constraint conditions and supposed the reliability rate of power supply was not less than 0.9,this paper analyzed the different climate situation at different area in China,and compared power capacity and construction costs of optimal hybrid power system to that which only made use of individual solar energy or wind energy.Using two different algorithms to optimize system configuration.The results showed that the complementary system was much better than the single power supply system in terms of capacity configuration and system costs.Based on the BreedPSO,the system configuration capacity and investment cost were better than the results obtained by the traditional PSO.The changes of reliability rate of power supply and load level,as well as the costs of solar and wind energy equipment,and their influences to the scheme of optimal hybrid power system were also studied in this paper.By means of records and analyses of annual reliability and extra rate of power supply,the hybrid system based on BreedPSO had reached a logical conclusion to meet the demand of power supply in the long run.