SPARSE MATRIX LIBRARY FOR POWER SYSTEM STATE ESTIMATION BASED ON FULL KNUTH’S METHOD

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2021-6-18

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Yıldız, Tuna

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Considering the increase in power system size and the number of PMUs, it is essential to use a computationally efficient state estimator. The Fast Decoupled State Estimation is the most common method used in industrial applications, thanks to its computational efficiency and ease of implementation. However, it can be improved further by using sparse storage techniques, thanks to the sparse structure of the state estimation matrices. In literature, there are several types of sparse storage algorithms, however, only a few of them is suitable for the power system state estimation operations. Considering the possible frequent topology changes, Knuth’s method has a superiority in power system applications. However, even Knuth’s Method can be enhanced further by using additional information of the matrices. This thesis proposes the full Knuth’s Method for sparse storage algorithm. Considering that sparse storage libraries for real-time power system applications are not available as open-source, firstly modified sparse storage library is built. After that, by using the created sparse storage library, the features of the power system state estimator are built. Thanks to the designed sparse storage library, the computational performance is increased further for power system state estimation.

Subject Keywords

Sparse Storage, Knuth’s Method, Full Knuth’s Method, State Estimation, Sparse Matrix Inversion

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https://hdl.handle.net/11511/91337

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

T. Yıldız, “SPARSE MATRIX LIBRARY FOR POWER SYSTEM STATE ESTIMATION BASED ON FULL KNUTH’S METHOD,” M.S. - Master of Science, Middle East Technical University, 2021.