基于随机配置点法的概率潮流算法

发布时间：2018-03-28 05:15

本文选题：不确定性量化　切入点：正交多项式混沌　出处：《电力系统自动化》2015年23期

【摘要】：可再生能源的大量接入使得电力系统的不确定性增加,对电力系统的运行和控制提出了新的挑战。从不确定性量化理论出发,提出了一种基于随机配置点法的概率潮流算法。该算法将不确定性输入变量的概率分布表述为广义多项式混沌的谱系数,通过构建一个规模可控的确定性非线性方程组,将待求变量的概率分布函数求解转换为广义多项式混沌的谱系数求解问题,可较好地解决概率潮流计算中求解精度和计算复杂度之间的矛盾。在IEEE 14节点和IEEE 118节点系统的仿真计算中,该算法的有效性、实用性和准确性得到了验证,对于含新能源并网的概率潮流等不确定性问题具有较好的工程应用前景。
[Abstract]:The large number of renewable energy sources increase the uncertainty of power system, which brings a new challenge to the operation and control of power system. A probabilistic power flow algorithm based on random collocation point method is proposed, in which the probability distribution of uncertain input variables is expressed as the spectral number of generalized polynomial chaos, and a deterministic nonlinear equations with controllable scale are constructed. The probabilistic distribution function of the variable to be solved is transformed into the spectral coefficient solution of generalized polynomial chaos. It can solve the contradiction between accuracy and computational complexity in probabilistic power flow calculation. The validity, practicability and accuracy of the algorithm are verified in the simulation of IEEE 14-bus and IEEE 118-bus systems. It has a good prospect of engineering application for uncertain problems such as probabilistic power flow with new energy.
【作者单位】：新能源电力系统国家重点实验室(华北电力大学);中国电力科学研究院;
【基金】：国家重点基础研究发展计划(973计划)资助项目(2012CB215203) 国家自然科学基金资助项目(50907034)~~
【分类号】：TM744

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