Research On Unit Commitment Scheduling Of Large-scale Wind Power Access

With the rapid change of global climate and the reduction of dependence on fossil energy,the international community has gradually reached a consensus to vigorously develop wind power,one of the clean energy sources.The energy development policies of China show that large-scale wind power access to the power grid has become a major trend in power industry of China.With the increasing proportion of wind power access,the randomness and volatility of wind power pose new challenges to unit commitment,so the traditional model of unit commitment can no longer meet the current development needs.It is of great significance for solving the problem of high proportion wind power connection and improving the capacity of system consumption to carry out the study of unit commitment scheduling considering wind power scale access.First,based on the research of the traditional unit commitment problem and the traditional research unit commitment problem,analyzes the feature of Lagrange relaxation to solve the problem.On this basis,construct the mathematical model of system operation cost minimization,the Lagrange relaxation,subgradient method and fuzzy subgradient method coordination of hybrid algorithm for unit optimal operation.Secondly,considering the unpredictability of wind power in large-scale grid-connection,variable weight combination coefficient model is used to predict wind speed sequence in advance,and through wind speed data to obtain wind power output power prediction curve.Aiming at the uncertainty of wind power,a multiple time scale model of wind joint scheduling with the minimum cost goal of system operation and wind power abandon is constructed,by comparative analysis of the day-ahead scheduling,rolling scheduling and real-time scheduling,the difference between precision of different time scale model to predict the wind is given,the scheduling model is optimized based on the improved Lagrange algorithm.Finally,considering the influence of different wind power permeability on power system operation,the optimal scheduling results are analyzed.Through simulation analysis,the improved Lagrange relaxation algorithm can get the optimal solution quickly and greatly improve the economy of the system operation.Aiming at the unit combination problem after large-scale wind power grid connection,the prediction accuracy and curtailment cost of wind power under different time scales are analyzed,and the feasibility of multi-time scale joint scheduling model is verified.Thescheduling strategy can effectively reduce curtailment and primary energy consumption.