Optimization On The Operation Of Wind Farms Concerning The Coordination Between Grid And Sources

With growing penetration of wind energy into the power system,the random and intermittent wind resources will bring much trouble to the stability and safety of the power system.Current power scheduling system focused on the control of the generation side is hard to accommodate for the growing penetration of wind energy,which causes the abandon of wind power generation in large proportion.Besides,there’s no flexibility in the internal control mode of the wind farm,and the investment income of the wind farm directly affects the market competitiveness of the wind power industry.In order to solve the above dilemma of wind power development,it is necessary to optimize the operation of existing wind power resources based on grid demand,enhance the economic benefits of wind farms.Therefore,this paper focuses on the optimization of the operation of wind farms under the network coordination environment.Taking the optimization opportunities from the compensation effect from multiple sources and load and from the incentives of electricity price,then based on current software and hardware resources of the wind power industry,this paper sets out studies to optimize wind farm controlling scheme from the perspective of maximum active power and balanced fatigue distribution.This paper was supported by the National Natural Science Foundation of China(61379063)and the Natural Science Foundation of Hunan Province(2015JJ5027)and the main findings are summarized as follows:Based on demand response,a robust unit commitment model is studied to optimize the system-level scheduling of wind power considering wind energy,thermal power and electrical vehicles.It is especially emphersized on the study of the effect of demand response and the influence of power consumption contract in conducting consumption behaviors and releasing the fluctuation of the loads.With the objective of minimizing the operation cost,the scheduling model can guarantee the economic and safe operation of the system,thus promoting consumption of wind energy.Then this paper sums up the network source coordination situation,the wind power operation of several models and their characteristicsAn active power optimization method is proposed for wind farms concerning the condition when control margins of the system are sufficient for full production of wind turbines.Focused on the contradiction between the accuracy of the model and its complexity on computation when solving optimization problems with dynamic wind speed,an optimization method based on time sequence of wind speed is proposed.Through which the active power optimization problem of wind speed sequence is decomposed into several active power optimization problem under constant wind speed.Thus the optimization model is simplized and the calculation of solving problems is reduced.The proposed method can be implemented on current hardware conditions to coordinate active power reference of each turbine to optimize the total output of the wind farm.Focused on the operation on restriction period,the active power control margins can be utilized to improve fatigue distribution of the wind farm through coordination of each turbine’s power output.Especially,the measurement on turbines’ fatigue degree and fatige model of the wind farm have been studied then solved by the genetic algorithm.Illustrated by the experiment,the proposed model can balance fatigue distribution of the wind farm thus to optimize the maintenance costs compared with tradional control method of the wind farm.