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This paper presents a linear phasor state estimator which maintains robustness against gross errors while remaining computationally efficient. This is achieved by defining as many additional zones as necessary so that any bus in the system will appear as an internal bus with respect to at least one zone. All zones will have their separate state estimators which will run in parallel assuming the availability...
The work in this paper is motivated by the computational challenges in monitoring very large scale interconnected power transmission systems. The main idea is to exploit the robustness property of the recently developed PMU-based linear estimator while eliminating hierarchical computational complexity. It is recognized that state estimation can be implemented for observable islands in an efficient...
This paper focuses on state estimation in very large systems with several control areas where there are sufficient phasor measurement unit (PMU) measurements to allow implementation of a linear state estimator. The paper exploits the natural partitioning of the grid by control areas and develops an estimation framework based on the well-known Dantzig-Wolfe decomposition principle for linear programming...
Phasor measurement units (PMUs) are being deployed in increasing numbers in power systems. Thus, it is not unrealistic to expect that in the not so distant future, utilization of PMU measurements directly and exclusively for static state estimation will become a viable alternative to traditional SCADA-based static state estimation. This paper considers such a future where a robust linear state estimator...
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