Research On Dynamic Optimal Scheduling Strategy For Large Scale Wind Farms Based On Multi-objective

The wind power has developed rapidly because of its clean and renewable features and the strong support of national policy.On the condition of the increasing scale of wind power system and the increasing constraints,the wind power dispatching technology enables the control function and dispatching function of wind powerto be realized and the power operation mode is arranged reasonably.The wind power dispatching technology maximizes the use of the wind power resources to provide high quality electrical energy and makes use of a variety of adjustable energies within the active power range to improve the economical efficiency as far as possible.Although there are many reports about power system dispatching of wind power station,the application of wind power in power system dispatching is still in the stage of exploration.Therefore,how to construct the economic operation mechanism of electric power system in a large-scale wind power stations is aproblem,which needs deep exploration,and the key is to propose a new multi-objective scheduling model and solve the high efficiency algorithm of mathematical model.After the large-scale wind power stations being accessed to the power system,the dynamic economic scheduling model should be established,aiming to have a power system security evaluation,the minimum cost of electricity purchase,the smallest air pollution emissions,the minimum amount of energy consumption of thermal power and form a multi-objective optimization problem for constructing large-scale wind power station and grid-connected active dynamic economical scheduling.In this dissertation,the multi-objective optimization algorithm NSGA-II has been improved,and the Pareto-local optimization algorithm and the PCD-based elite population update strategy are applied.Then the performance of the algorithm is tested by ZDT test function set and the author evaluates this algorithmaccording to the convergence ofmulti-objective optimization algorithm and methods of performance measurement,and and the effectiveness of the algorithm is verified.Finally,the improved NSGA-II optimization algorithm is used to solve and validate the problem of dynamic optimization of large-scale wind power station and and grid-connected active dynamic economical scheduling based on MATLAB simulation platform.The author regards the IPSO algorithm and NSGA algorithm as references,and compares them with the improved NSGA-II algorithm to prove thatthe scheduling scheme ensures the safety and reliability of the system dispatching operation.Moreover,it saves the fuel,reduces the pollutant discharge,reduces the power generation cost and has better utilization value.