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Off-line detection, identification and correction of power system branch parameter errors

机译:电力系统分支参数错误的离线检测,识别和纠正

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A practical and efficient off-line approach to detect, identify and correct series and shunt branch parameter errors is proposed. The branches suspected to be with parameters errors are identified through an Identification Index (II). The II of a branch is the ratio between the number of measurements incident to that branch, whose normalized residuals are larger than one specified threshold value, and the total number of measurement incident to that branch. Using several measurements snapshots, the suspicious branches parameters are estimated, in a sequential form, via an augmented state and parameter estimator which increases the V-θ state vector for the inclusion of suspicious branch parameters. Several simulation results (with the IEEE 14, 30 and 57 bus systems) have demonstrated the high accuracy and reliability of the proposed approach to lead with single and multiple parameter errors in adjacent and non-adjacent branches.
机译:提出了一种实用,有效的离线方法,用于检测,识别和校正串联和并联支路参数误差。通过识别索引(II)识别怀疑存在参数错误的分支。分支的II是入射到该分支的测量次数与入射到该分支的测量总数之比,​​该测量次数归一化残差大于一个指定的阈值。使用几个测量快照,通过增强状态和参数估计器以可连续的形式估计可疑分支参数,该状态和参数估计器增加V-θ状态向量以包含可疑分支参数。若干仿真结果(使用IEEE 14、30和57总线系统)已经证明了所提出的方法在相邻和不相邻分支中导致单参数错误和多参数错误时的高精度和可靠性。

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