Collaborative Optimization For Dispatch And Maintenance Of Power Grid With Renewable Energy Sources

Dispatch and maintenance scheduling is an important part of the power system operation structure optimization.Proper consideration of wind power randomness and uncertainty of load forecast and unit forced outage impact on system safety,collaborative optimization for dispatch and maintenance of power grid with wind power plays an important role in accommodating wind power and improving the reliability of system.The innovation of this paper can be summarized as follows:1.By using the probability density function to describe the monthly distribution characteristics of each hour wind power and load output,based on the analysis of large amounts of data,fit out the parameters and generate the hourly fan output per hour and the load per hour,generate load and wind power output a monthly per hour by MATLAB.2.Construction of the minimum load loss expectation model for the monthly collaborative optimization for dispatch and maintenance of large scale wind power network,apart from economic objectives,we increase the loss of load as the reliability objective of optimization,consider the relevant constraints of dispatch and maintenance and the coupling constraints.3.For the large-scale mixed integer nonlinear programming model,based on MATLAB platform,we use YALMIP to model,call CPLEX solver to solve.The rationality of the proposed model and the effectiveness of the method are verified by the simulation of 118 node system.The simulation results show that the cooperative optimization model considering the lost load expectation can ensure the safe and stable operation of power system,avoid frequent start and stop of conventional units,reduce loss of load capacity,consume wind power in large-scale,improve economic benefit and energy efficiency.