黄丽华, 张丽娜, 霍利民. 基于时序模拟的配电系统可靠性评估收敛判据[J]. 农业工程学报, 2011, 27(12): 168-172.
    引用本文: 黄丽华, 张丽娜, 霍利民. 基于时序模拟的配电系统可靠性评估收敛判据[J]. 农业工程学报, 2011, 27(12): 168-172.
    Huang Lihua, Zhang Lina, Huo Limin. Convergence criterion for distribution systems reliability assessment based on sequential simulation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(12): 168-172.
    Citation: Huang Lihua, Zhang Lina, Huo Limin. Convergence criterion for distribution systems reliability assessment based on sequential simulation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(12): 168-172.

    基于时序模拟的配电系统可靠性评估收敛判据

    Convergence criterion for distribution systems reliability assessment based on sequential simulation

    • 摘要: 基于时序模拟的配电系统可靠性评估中,由于抽样的随机性导致求解结果的不确定性,为此,求解过程需要运用概率知识描述,可靠性指标的收敛判据也不同于常规数值迭代算法。针对配电系统的时序模拟的不确定性问题,研究了独立事件的选取,构造了独立广义事件;分析了在给定置信概率下总体均值的置信区间,得出置信区间长度与样本均值的绝对误差相关的结论,进而提出了用绝对误差描述的实用收敛判据,并且给出该置信概率下置信区间长度与给定计算精度的不等关系式。通过对RTBS测试系统的实例分析,验证了该方法的合理性与有效性。

       

      Abstract: In sequential simulation for distribution system reliability assessment, randomicity of sampling result in uncertainty of solution, thus the solving process must be expressed by probability knowledge, the convergence criterion for reliability indices is also different from which of common numerical iteration algorithm. Directed against solving uncertainty problems for sequential simulation of distribution system, choosing independent events was studied, independent generalized events were constituted. By analyzing confidence interval of general average value on the condition of a given confidence probability, a conclusion was reached that confidence interval length is related to absolute error of sample mean, and then a practical convergence criterion that expressed with absolute error was proposed, and the unequal relational expression about confidence interval length and a given calculation precision was presented under the given confidence probability. The method is reasonable and effective by RTBS verification.

       

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