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Frequency Stability Control Of Hydro-wind Power Based On Iterative Learning Control Strategy

Posted on:2022-02-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q GuoFull Text:PDF
GTID:2512306524951099Subject:Power Engineering
Abstract/Summary:
As a very important renewable clean energy,wind power will continue to increase its share in China’s energy structure in the future as the installed capacity of wind power continues to grow.Such a large-scale assembly of wind turbines will bring great challenges to the stability of the grid frequency.Hydropower generating units in hydropower stations have diverse operating modes,with flexible adjustment methods and fast response to load changes.The joint operation of wind power and hydropower can effectively suppress wind power fluctuations and improve the frequency stability of the power system through the good regulation performance of hydropower units.Therefore,this paper proposes the frequency stability control of hydropower-wind power joint operation system based on iterative learning control strategy.First,briefly introduce the current development status of hydropower and wind power at home and abroad.An overview of the hydropower-wind power frequency control mechanism and the current research status of hydropower-wind power joint operation at home and abroad.It also elaborates the principles of hydroelectric power units and wind power units,and constructs their mathematical models.Secondly,it analyzes the simulation example of the iterative learning control strategy to verify the rationality of the control strategy.Then build a hydroelectric unit model based on iterative learning PID control in MATLAB/Simulink software and combine multiple operating conditions for simulation analysis.On this basis,the frequency stability control model of hydropower generators under wind power disturbance is established,and the control effect of hydropower generators under different wind power disturbances using iterative learning PID control and traditional PID control is compared and simulated.The simulation results show that iterative learning PID control is better than traditional PID control in dynamic control performance such as system overshoot,adjustment time and robustness.Therefore,the iterative learning control strategy can effectively improve the response speed of hydropower units and have a better effect on the stable control of hydropower-wind power frequency.
Keywords/Search Tags:Wind turbines, hydro turbines, iterative learning control, PID control, frequency
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