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An effective root based algorithm for power system topological observability

机译:一种有效的基于根的电力系统拓扑可观性算法

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The paper presents a simple and direct "root based" algorithm with efficient data structure to determine the topological observability from the available measurement data set. The root based approach assigns measurements to the branches of the system graph and builds up a tree and determines the topological observability. If the system is unobservable from the available data set, it identifies observable islands with no additional computation and also shows the potential locations for additional meter placement or pseudo-measurements so that the system is observable. The algorithm needs no floating point computations and cannot fail due to numerical round-off problems. In implementing the root based algorithm, the proposed efficient data structure plays a very significant role in drastic reduction of time for observability test. The added advantage of the proposed data structure is that the same is useful for implementing any selected state estimation algorithm exploiting the sparsity of Ybus-matrix. The root based algorithm is tested on 6, 9 and IEEE 14, 30, 57 and 118 bus systems for given sets of measurement data and it could yield correct classification of observable and unobservable cases with reduced memory and execution time.
机译:本文提出了一种简单而又直接的“基于根”的算法,该算法具有有效的数据结构,可以从可用的测量数据集中确定拓扑的可观察性。基于根的方法将测量值分配给系统图的分支,并构建一棵树并确定拓扑可观察性。如果从可用数据集中无法观察到系统,则无需进行额外的计算即可识别可观察的孤岛,并且还会显示用于额外仪表放置或伪测量的潜在位置,从而使系统可观察到。该算法无需浮点计算,并且不会因数值舍入问题而失败。在实施基于根的算法时,所提出的有效数据结构在大幅减少可观察性测试的时间方面起着非常重要的作用。所提出的数据结构的附加优点是,对于利用Ybus矩阵的稀疏性来实现任何选定的状态估计算法,该数据结构都是有用的。在6、9和IEEE 14、30、57和118总线系统上针对给定的测量数据对基于根的算法进行了测试,该算法可以对可观察和不可观察的情况进行正确分类,从而减少了内存并缩短了执行时间。

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