考虑风速相关性及复杂地形的风电场旋转备用容量优化研究

发布时间：2018-04-02 10:44

本文选题：风速相关性　切入点：风电场旋转备用　出处：《南京理工大学》2017年硕士论文

【摘要】：为推进清洁能源风能的开发利用,风电渗透率逐年增加,随着风机的广泛接入电力系统,风机具备了参与电力系统调频的能力,提高备用容量的储备可以增强电力系统的稳定性,但接入风电带来的波动性和不确定性却又提出了新的挑战。利用风机获得较多的备用,系统会越稳定,但是留有越多的备用容量,即意味着风机将产生更多弃风,不利于风电场经济性。因此本文致力于找寻两者的平衡点对备用容量进行优化。本文以风电场能够为电力系统提供调频备用容量支持为背景,利用风机工作在减载运行模式,结合改变转速产生的惯性动能实现增加旋转备用容量的储备,有效减少弃风量。本文的研究内容主要如下:首先利用WAsP软件(风图谱分析和应用程序)构建风电场模型,考虑尾流效应、地面粗糙度以及障碍物遮挡对风速的影响,获得风速预测数据。构建复杂地形环境下的风电场风速预测模型,运用WAsP软件进行仿真获得风速数据,利用历史数据统计得出风机形状参数和尺度参数,作为风机等值聚合的数据基础。然后利用Copula理论对复杂地形的风电场内部风速进行相关性分析,结合相关性对风机进行等值聚合。构建Mixed-Copula函数来描述两台风机风速的联合分布,通过秩相关系数检验进行风机等值聚类,最后通过两台风机仿真验证了该联合分布函数能够有效拟合复杂地貌特征的风速数据,并计及风速相关性的特征。最后根据风速预测数据和风电场风机等值聚合的结果,建立风速—风功率模型,并在此基础上进行风电场旋转备用容量优化。分别建立了定备用模式优化模型和定减载模式优化模型,两种优化模型均计及风速相关性影响。定备用模式实现了弃风量最小优化,定减载模式实现了旋转备用容量优化。仿真验证本文考虑风速相关性的旋转备用容量优化比传统法能够给定减载率下能提供更多备用,并在给定备用模式下有效地减少弃风。
[Abstract]:In order to promote the development and utilization of clean energy wind energy, wind power permeability increases year by year. With the wide connection of fans to power system, fans have the ability to participate in power system frequency modulation. Increasing the reserve of reserve capacity can enhance the stability of power system, but the volatility and uncertainty brought about by wind power access presents a new challenge. But the more spare capacity is left, the more wind the fan will produce. It is not good for the economy of wind farm. Therefore, this paper tries to find the balance point to optimize the reserve capacity. Based on the fact that wind farm can support the power system with FM reserve capacity, the wind turbine is used to operate in the mode of load reduction. Combined with inertial kinetic energy generated by changing rotational speed, the reserve of rotating reserve capacity is increased, and the waste air volume is effectively reduced. The main contents of this paper are as follows: firstly, the wind farm model is constructed by using WAsP software (wind map analysis and application program). Considering the influence of wake effect, ground roughness and obstacle occlusion on wind speed, the wind speed prediction data are obtained. The wind speed prediction model under complex terrain environment is constructed, and the wind speed data are obtained by simulation using WAsP software. The shape parameters and scale parameters of wind turbine are obtained by using historical data statistics, which is used as the data base of fan equivalent aggregation. Then, the correlation analysis of wind speed inside wind farm of complex terrain is carried out by using Copula theory. The Mixed-Copula function is constructed to describe the combined distribution of wind speed between the two typhoon engines, and the fan equivalent clustering is carried out by rank correlation coefficient test. Finally, the simulation of two typhoons shows that the combined distribution function can fit the wind speed data of complex geomorphological features effectively, and take into account the characteristics of wind speed correlation. Finally, according to the wind speed prediction data and wind farm fan equivalent aggregation results, The model of wind speed and wind power is established, and on the basis of this model, the optimal model of fixed reserve mode and fixed load reduction mode are established. The two optimization models take into account the influence of wind speed correlation. The simulation results show that the rotation reserve capacity optimization considering wind speed correlation can provide more spare capacity under given load reduction rate and effectively reduce abandonment wind in given standby mode.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM614

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