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Journal ArticleDOI

Hierarchical State Estimation Using a Fast Rectangular-Coordinate Method

TLDR
A new hierarchical computing scheme is developed by carefully considering mismatches arising from the system decomposition by making use of an extension of a fast second-order load-flow method which allows to employ a fixed Jacobian matrix in the hierarchical algorithm.
Abstract
Hierarchical computing methods for large-scale Power System State Estimation (PSSE) has gained considerable interest over the last few years. So far, however, no method has been developed that is both practical and optimizes the total system's cost function. The Newton-Raphson method for PSSE has the drawback that the Jacobian matrix is evaluated at each iteration and, each time, must be sent to all the other computers in the hierarchical system. In this paper a new hierarchical computing scheme is developed by carefully considering mismatches arising from the system decomposition. The proposed method makes use of an extension of a fast second-order load-flow method which allows to employ a fixed Jacobian matrix in the hierarchical algorithm. In the problem formulation the power network is decomposed into two or more subsystems; the interaction among the systems is taken into account through the tie-line bus voltages. The hierarchical structure of the proposed method consists of two levels: the upper level, where the optimal tie-line bus voltages are evaluated; and the lower level, where the optimal states of each subsystem are determined by minimizing a cost function that involves the entire system. Three test cases of the proposed method are reported in the paper;more » the test results are compared with those obtained by another hierarchical PSSE method.« less

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Journal ArticleDOI

Distributed Robust Power System State Estimation

TL;DR: A novel algorithm is developed based on the alternating direction method of multipliers that leverages existing PSSE solvers, respects privacy policies, exhibits low communication load, and its convergence to the centralized estimates is guaranteed even in the absence of local observability.
Posted Content

Distributed Robust Power System State Estimation

TL;DR: In this paper, a distributed power system state estimation (PSSE) method based on the alternating direction method of multipliers (ADMM) is proposed. But, the convergence to the centralized estimates is not guaranteed even in the absence of local observability.
Journal ArticleDOI

A Distributed Multiarea State Estimation

TL;DR: In this article, a distributed state estimation method for multi-area power systems is presented, where each area performs its own state estimation, using local measurements, and exchanges border information (estimated boundary states and measurements) at a coordination state estimator, which computes the system-wide state.
Journal ArticleDOI

Parallel and distributed state estimation

TL;DR: Numerical experiments show suitable performance of the proposed method with regard to estimation accuracy, convergence robustness and computational efficiency, and indicate the decoupled nature of the state estimation problem.
Journal ArticleDOI

A Distributed State Estimator Utilizing Synchronized Phasor Measurements

TL;DR: In this article, a distributed state estimation algorithm for large-scale power systems is presented, where synchronized phasor measurements are applied to aggregate the voltage phase angles of each decomposed subsystem in the distributed estimation solution, which is obtained from the distributed solution using a sensitivity analysis based update at chosen boundary buses.
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