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中文摘要：
综合考虑多风电场风速的变化规律并模拟生成相应数据,对研究大规模风电接入系统具有重要意义。提出一种考虑多风电场互相关性和波动特性的风速时序建模方法。首先分析多风电场风速间的时延关系,利用Copula函数构造能描述多风电场互相关性和概率分布的风速序列;然后通过随机微分方程对生成的风速序列进行重构,使其满足实际波动特性;最后再依据时延关系对风速序列进行调整。结果表明,利用该方法生成的风速模型能够描述各风电场自身和相互之间的变化规律。以IEEE-RBTS测试系统进行充裕度评估,验证了所提模型的有效性和实用性。
英文摘要：
It is important to deal with wind power integrated in power system by simulating wind speed data considering variation regularities. Wind speed data should adapt not only to probability distribution and fluctuation characteristics of single-wind farm, but also to correlation of multiple wind farms. In this paper a wind speed modeling method is proposed considering these characteristics. Firstly, time shifting technique and Copula function are used to analyze and produce multiple wind speed sequences. Secondly, the sequences are adjusted with stochastic partial differential equation and time-shifting technique. Results show that simulated wind speed sequences can reflect regularities of their own and nearby wind farms. Applying the proposed model to IEEE-RBTS test system, efficiency and applicability of this modeling method are validated with simulation results.
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