2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst 2018
DOI: 10.1109/eeeic.2018.8493643
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Relevant Subnetwork Identification for Topology Error Detection in Power Systems

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Cited by 2 publications
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“…where, t(q) is the qth element of the solution vector, t. The solution vector, t, which gives the minimum value of r will be the desired solution for topology error detection. In (24), the inverse of the matrix (H T c R −1 H c ) is required, to find the fresh estimate of state variables and substitute it for evaluation of measurement residuals. The size of the matrix (H…”
Section: Formation Of Matrix Ymentioning
confidence: 99%
See 1 more Smart Citation
“…where, t(q) is the qth element of the solution vector, t. The solution vector, t, which gives the minimum value of r will be the desired solution for topology error detection. In (24), the inverse of the matrix (H T c R −1 H c ) is required, to find the fresh estimate of state variables and substitute it for evaluation of measurement residuals. The size of the matrix (H…”
Section: Formation Of Matrix Ymentioning
confidence: 99%
“…For the detection of topology errors, heuristic method-based approaches are used. Similarly, the research works in [23] and [24] present particle swarm optimization [25] and binary bat algorithm-based methods for the detection of topological errors. The computational intelligence-based optimization methods have some commonly known challenges such as, i) the difficulty in tuning the optimization parameters, ii) considerably higher number of iterations to converge and give the global optimal solution when the size of the problem increases, and iii) system dependency and different performance under different conditions.…”
Section: Introductionmentioning
confidence: 99%