Wind Farm Power Allocation Strategy Based On Multi-objective Optimization Design And Implementation

In the background of global economy, the wind power becomes the first choice ofrenewable energy power generation technology. With the expansion of wind powerinstalled capacity, the proportion of the power to the grid network is also more and morebig, in the long run, to implement the controllable operation of wind power station,power grid dispatching system has to consider the wind power station, which is also theadvantages of large-scale wind power station development, so from the perspectiveview of the grid itself for wind farm output controllable, i.e. according to the grid powerrequirement wind power station able to adjust active power, reactive power output,which requires in accordance with grid requirements reasonable power allocation tovarious wind generators and wind power station.In order to achieve the total output power of wind power station that can meet thepower grid dispatch requirements, and can make minimum internal loss, improve theefficiency of wind power station operation, improve the utilization rate, optimize theoperation of wind power station, to shortened wind power investment recovery period i,this paper mainly studied from the following aspects:1. Study the principle and system of wind power and wind power optimizationcontrol; in order to achieve parallel interconnection requirements, integrating windpower station parallel technology and requirements, characteristics of the wind powerstation to the grid power access were studied, and propose the power allocationoptimization as a first target, on this basis, in order to improve the power efficiency,then puts forward the optimization the second target. According to the related factors ofpower system node characteristics and wind generator power, give the optimizationtarget corresponding to relevant condition, finally the problems are analyzed andprocessed as model based.2. On the proposed optimal power allocation strategy problem, genetic algorithmis applied to the problem of the current popular swarm intelligence particle swarmalgorithm and simulating natural evolution law of development based on the widelyused, again on the basis of each method disadvantages, improve the methods and verify the simulation results for the improvements. The simulation results show that: thealgorithms not only satisfy the demand of power grid dispatching, but also reduce thepower loss inside the wind power station.3. The optimal power allocation strategy and algorithm design in the powercontrol software, and the field test verification for the corresponding done in theNingxia sun Hill Datang section-2wind power station. The allocation algorithm andsoftware performance results show that, both two of the methods can use in wind powerstation and the application is stable, and can help to improve the efficiency and power ofwind power station, and has certain improvement to reduce wind power station powerloss.