Research On Source-Network-Load Collaborative Planning Model Of Wind Farm With Wind Carbon Trading

The non renewable nature of fossil energy and its contradiction with environmental demand make the development and utilization of new energy gradually attract people's attention.As a representative of clean energy,wind energy has become the focus of new energy development and research.With the large-scale access of wind power,its intermittence and uncertainty bring great challenges to the security and stability of traditional power grid.In recent years,with the maturity of power generation technology and supply side structural reform,the relationship among power supply,power grid and load is becoming more and more diversified.The way of cooperation among the three is becoming more and more ideal,and the way of supply and demand is no longer the same.Therefore,in view of the situation of large-scale wind power grid connection and the comprehensive demand side response mechanism carbon load trading mechanism,this paper studies the source grid load collaborative planning of wind farms as follows:Firstly,the mathematical model of source network load and related theories are studied.Based on the random wind speed generated by Weibull distribution,the output mathematical model of wind turbine is established.The functional relationship between the available capacity and the rated capacity of the battery is analyzed,and the mathematical model of the working state of the battery is given.The mathematical model of economic benefit of wind power project is established.And the improved particle swarm optimization algorithm is studied.Secondly,the source network load collaborative planning model considering the demand side response is established.This model takes into account the effect of demand side response on source network collaborative planning,and focuses on the analysis of the role of flexible load in planning.Taking the maximization of comprehensive income as the objective function,the energy balance,battery charging and discharging,unit output and other constraints are met.The improved particle swarm optimization algorithm is used to solve the model.The simulation results show that the demand response mechanism can suppress the wind wave dynamics,improve the wind power consumption and participate in planning,and increase the economy of wind farms and power companies.Finally,the source network load co planning model of wind farm with carbon trading is constructed.Based on the third chapter,the demand side response is considered,and based on the carbon trading mechanism,the benefits of wind power emission reduction are quantified as the actual economic value.At the same time,the cooperative game theory is used to establish the source network load collaborative planning model.This model takes the maximum net income as the objective function,and adopts the income distribution mechanism based on Shapley value to establish a fair and reasonable income distribution model for each member.Finally,the rationality of the model is verified by an example analysis.At the same time,the simulation results show that the source network load cooperative planning model based on carbon trading mechanism can not only improve the energy consumption of win.