| Wind power is a new energy power system,which is an important position in the overall layout of ecological civilization.Therefore,vigorously promote wind power development,serve national strategies,help carbon peaks and carbon neutralization goals smoothly.However,due to intermittent and randomness of natural wind,the output fluctuation power of the wind turbine is caused,and the system is not reversible loss,the effective energy utilization rate is low,the economic is poor,which is not conducive to the development of the wind power industry.With the development of the energy storage technology,it is expanded as part of the wind power system,and the quality of wind power energy can be effectively improved,and the wind power leads the "14th Five-Year" renewable energy development level.This research takes off grid wind power system as the research object,with the help of energy storage technology,adopts the method of combining experiment,simulation calculation and simulation to carry out the research on system efficiency and economic characteristics,so as to obtain the feasible measures to improve the energy production and utilization efficiency of the system.The wind storage load system can be regarded as an open "generalized flow" dissipative system.The traditional method is based on the theory of "energy flow" transformation limit in equilibrium state,and the "cash flow" consumption process is ignored,which makes it not comprehensive to consider the power heat transformation characteristics of the system.Based on the complete life cycle of generation,consumption,consumption and storage.Therefore,this paper studies the comprehensive economic characteristics of wind power system on the basis of exergoeconomics.The research results are of great significance to improve the energy efficiency and economic operation of the system.The specific research contents are as follows:1.The influence of unit output characteristics on exergy efficiency and correlation analysis.With the help of wind tunnel test to explore the dynamic output characteristics of the unit,determine the influencing factors of the system exergy loss,and lay the foundation for the follow-up research of motor replacing the wind wheel;carry out the energy storage characteristics experiment,which is convenient to explore the influence degree of lead-acid and lead-carbon battery charging and discharging characteristics on the exergy characteristics,so as to lay the foundation for subsequent optimization analysis.2.Wind power system simulation analysis.In order to further determine the positive effect of energy storage link in wind power system,the system model is established and simulated by using Matlab / Simulink software.The power changes of battery and super capacitor in single energy storage mode and hybrid energy storage mode are analyzed to verify the effectiveness of hybrid energy storage in suppressing power fluctuation.At the same time,the influence of energy storage and release characteristics on exergy efficiency and exergoeconomy is explored Influence law.3.System loss on the influence of exergy characteristics.According to the results of the experiment and simulation analysis,the dynamic system dynamic field-road coupling model is compared,and the motor magnetic flux cloud map before and after the coupling,the air gap is radial magnetic flux,and the dynamic characteristics of external circuits on the dynamic characteristics of the external circuit;in addition,the motor copper consumption,Iron consumption and eddy current loss are heat source loading,and the thermal characteristic analysis of the motor is further explored the correlation between motor loss and exergy characteristics.4.Exergy efficiency and Exergoeconomic analysis and optimization of "wind-storageload" system.Firstly,the exergy balance and cost conservation equations of wind turbine are established on the basis of economics,and the evaluation indexes of energy efficiency and economy of the system are established.Combined with the results of test and simulation analysis,the original influencing factors of efficiency and cost difference are determined,and the comprehensive weight value of each factor is obtained.Finally,the combination of surface method(RSM)and non dominated sorting genetic algorithm(NSGA-Ⅱ)is used for the evaluation The optimal operation condition is obtained by multi-objective optimization. |
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