Research On Optimal Scheduling Of Smart Grid With Distributed Renewable Energy

To address global challenges such as energy security,climate change and economic growth,renewable energy technology has been rapid developed.However,the stochastic volatility of renewable energy has brought unprecedented challenges to the traditional power system.With the development of smart grid in china,how to consider the coordination of Distributed Renewable Energy and current power dispatching mode in China,to solve the contradiction between distributed generation and power grid,has been one of the hot issues in current power system.In this paper,based on extensive literature review,the optimal scheduling problem of smart grid with distributed renewable energy is studied.Firstly,based on the historical data of wind power,the probability density function of wind power is established,and the probability density function parameters are obtained by the regression model,and the monthly wind power output is generated by MATLAB;Secondly,the collaborative optimization model of monthly scheduling and maintenance with distributed renewable energy is constructed.On the basis of this,the constraints of scheduling and maintenance and the coupling constraints are considered;Then,according to the proposed large-scale mixed integer nonlinear programming model,based on the MATLAB platform,using YALMIP modeling language,calling GUROBI solver to solve the model,and the calculated results were compared with the genetic algorithm and solution efficiency analysis;Finally,a practical example is used to analyze the data,and the results show the effectiveness of the proposed model.