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基于半不变量法的电力系统随机潮流

Probabilistic load flow based on semi-invariant method in power system
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摘要 传统的解析法随机潮流(Probabilistic Load Flow,PLF)都基于常规潮流计算的结果进行分析,且只使用了一种Gram-Charlier级数拟合概率密度函数,为此提出了一种基于多点线性化并考虑阈值分析的电力系统随机潮流计算方法,且综合使用了两种Gram-Charlier级数拟合概率密度函数。分析了多点线性化的方法,推导了随机潮流阈值的计算方法。所用算例为IEEE-RTS 24节点数据,算例结果表明:混合使用A型与C型Gram-Charlier级数拟合概率密度函数要优于只用一种Gram-Charlier级数;考虑阈值分析的多点线性化的随机潮流比常规随机潮流更加精确。 The traditional probabilistic load flow (PLF) was based on general power flow calculation result, and only the Gram- Charlier series was used to approximate the probability density function. Thus in this paper, a new method for probabilistic load flow calculation in power system, based on mulfipoint linearization and threshold analysis, was proposed. Also, two Gram-Charlier series were used to approximate the probability density function. The multipoint linearization method was analyzed, and the calculation method for threshold of probabilistie load flow was derived. Based on the case study on the IEEE-RTS 24 bus system, it was found that the hybrid utilization of type A and type C Gram-Charlier series to approximate the probability density function was better than using just one type, and the muhipoint linearization probabilistie load flow considering threshold analysis was more accurate than the general probabilistie load flow.
机构地区 河源供电局
出处 《贵州电力技术》 2015年第8期1-4,94,共5页 Guizhou Electric Power Technology
关键词 随机潮流 半不变量 Gram—Charlier级数 阈值分析 多点线性化 probabilistic load flow semi-invariant Gram-Charlier series threshold analysis muhipoint linearization
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