并网风电场下垂控制系数概率模型研究

发布时间：2018-05-31 13:06

本文选题：风电场并网 + 下垂控制概率模型　；参考：《电网技术》2014年12期

【摘要】：随着风电并网容量的不断增加,风电场参与系统的频率控制是未来发展的必然趋势。了解和掌握并网风电场频率控制特性对于保证系统的频率稳定性具有重要意义。风电场并网的频率控制与传统发电机组有所不同,风电场出力受风速影响具有一定的随机性和波动性。根据风力发电机组出力模型,提出了基于风速变化的风电场下垂控制系数概率模型。利用半不变量的可加性,运算得出随机变量的数字特征,通过Gram-Charlie级数展开的方法计算其概率密度函数。通过对并网IEEE-14节点系统进行仿真计算,结果表明采用下垂控制系数概率模型能够反映其随机变化特性,风电场调频能力受风电场随机出力的影响,验证了概率模型的正确性,为风电场参与系统频率控制提供了一定的理论依据。
[Abstract]:With the increasing of wind power grid capacity, it is an inevitable trend for wind farm to participate in the frequency control of the system in the future. It is very important to understand and master the frequency control characteristics of grid-connected wind farm to ensure the frequency stability of the system. The frequency control of wind farm connected to grid is different from that of traditional generator set. Wind farm output is affected by wind speed and has a certain randomness and volatility. According to the wind turbine output model, a probabilistic model of wind farm droop control coefficient based on wind speed variation is proposed. By using the additivity of semi-invariants, the numerical characteristics of random variables are obtained, and the probability density function is calculated by the method of Gram-Charlie series expansion. The simulation results of grid-connected IEEE-14 node system show that the probabilistic model of droop control coefficient can reflect its random variation characteristics, and the frequency modulation ability of wind farm is affected by the random output of wind farm, which verifies the correctness of the probabilistic model. It provides a theoretical basis for wind farm to participate in the frequency control of the system.
【作者单位】：输配电装备及系统安全与新技术国家重点实验室(重庆大学);
【基金】：输配电装备及系统安全与新技术国家重点实验室自主研究项目(2007DA10512712205)的资助
【分类号】：TM614

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