光伏发电配电系统的概率潮流研究

Shu-jun Yao, Yan Wang, Minxiao Hang, Xiaona Liu
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引用次数: 7

摘要

基于光伏发电(pv)的分布式发电具有依赖自然条件的概率输出功率,传统的确定性潮流已不适合用于分析和维护配电系统。针对这一问题,本文采用概率潮流(PLF)方法来评估pv对分布式发电的影响。首先,建立了PVS的概率模型;其次,采用累积量和Cornish-Fisher联合展开模型来计算PLF,而不是传统的Gram-Charlier展开模型;该模型对非高斯概率密度函数具有较好的收敛性。最后,对在部分节点注入pv后的IEEE 34配电系统进行了测试。结果表明,本文方法是有效、合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on probabilistic power flow of the distribution system with Photovoltaic System Generation
DG based on Photovoltaic System Generation (PVS) has the probabilistic output power relied on natural conditions, the traditional deterministic load flow is not a suitable tool for the analyzing and maintaining distribution system. Aiming at this problem, this paper applies a probabilistic power flow (PLF) method to evaluate the influence of distributed generation with PVS. Firstly, the probabilistic model of PVS is established, Secondly, instead of the conventional Gram-Charlier expansion, the model of combined cumulant and Cornish-Fisher expansion is applied to calculate the PLF. This model has the more convergence for on-Gaussian probabilistic density function. Lastly, the IEEE 34 distribution system with the modification by injecting the PVS to some nodes is tested. The results show that the method in this paper is efficient and reasonable.
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