Capacity Optimization Allocation Of Wind-light Storage Multi-energy Access To Traction Network

China’s electrified railways have a long mileage and undertake a large number of transportation tasks.At present,there is a large amount of wind power and photovoltaic resources distributed along the railway.Against the backdrop of global carbon reduction and green sustainable development,integrating these renewable energy sources into the traction power supply system of electrified railways and achieving nearby consumption has become inevitable,making the transformation of electrified railways to low-carbon inevitable.The thesis constructs a new type of electrified railway traction power supply system with multiple green energy sources connected to wind and solar energy storage.It studies the capacity optimization configuration of wind and solar energy storage multi energy complementary access traction power supply system,considers cost and power supply reliability,and achieves multi-objective control with low comprehensive cost(investment cost and operation maintenance)and low load shortage rate.Firstly,analyze the various components of the traction power supply system for highspeed electrified railways,such as V/x traction transformers,autotransformers,traction loads,etc.Based on their different principles and characteristics,as well as relevant connection principles and mathematical models,select the key components that make up the high-speed railway traction power supply system,build a simulation model,and set simulation parameters.Referring to the existing ways of integrating new energy into the traction power supply system,a new approach for integrating wind,solar,and multi energy storage is proposed.Establish a topology structure for Multi Energy Sources Traction Power Supply System(METPSS)based on the basic structure of the traction power supply system.The topology structure of the traction power supply system connected to wind,photovoltaic,and multi energy storage was selected as the object of capacity optimization.Secondly,the distribution of solar energy resources and the principle of photovoltaic power generation are described.The main factors affecting the output of photovoltaic cells are solar Irradiance,radiation and temperature;Analyze the principles of wind resources and wind power generation,and determine that factors such as wind speed and wind energy density mainly affect the output of wind power;Comparing and analyzing the existing energy storage batteries,the selection of energy storage batteries is determined by the energy density,charge and discharge rate,and stability.Establish relevant models based on their different principles,and select suitable photovoltaic cells,wind turbines,and energy storage batteries based on their respective output characteristics.Using wind power and photovoltaic resource data from a certain region,obtain the corresponding output power of photovoltaic cells and wind turbines.Thirdly,considering cost and power supply reliability,a multi-objective function with low comprehensive cost(investment cost and operation and maintenance)and low load shortage rate was established.By utilizing constraints such as power constraints and installation quantity,the NSGA II(Non dominated Sorting Genetic Algorithm II)multiobjective optimization algorithm was used to solve the objective function in the simulation software,and the optimization results of wind and solar energy storage multi energy capacity of the METPSS system were obtained.The complementary integration of wind and solar energy storage into the traction power supply system resulted in wind power consumption accounting for 72.4% of the total power of wind power generation and photovoltaic consumption accounting for 93.7% of the total power of photovoltaic power generation,ensuring reliable power supply while also consuming wind and solar energy storage.