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Journal ArticleDOI

Network Observability: Identification of Observable Islands and Measurement Placement

A. Monticelli, +1 more
- 01 May 1985 - 
- Vol. 104, Iss: 5, pp 1035-1041
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TLDR
Two algorithms are presented; one for testing the observability of a network and identifying the observable islands when the network is unobservable, and the other for selecting a minimal set of additional measurements to make the network observable.
Abstract
Two algorithms are presented; one for (i) testing the observability of a network and (ii) identifying the observable islands when the network is unobservable, and the other for selecting a minimal set of additional measurements to make the network observable. The two algorithms are based on triangular factorization of the gain matrix and are characterized by (i) being extremely simple, (ii) using, subroutines already in a state estimation program, and (iii) incurring very little extra computation. The design and testing of the algorithms are presented in this paper.

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Citations
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Journal ArticleDOI

Electric power system state estimation

TL;DR: In this article, the state of the art in electric power system state estimation is discussed, which is a key function for building a network real-time model, a quasi-static mathematical representation of the current conditions in an interconnected power network.
Journal ArticleDOI

Distribution system state estimation

TL;DR: A three-phase distribution system state estimation algorithm is proposed in this paper, where the normal equation method is used to compute the real-time states of distribution systems modeled by their actual a-b-c phases.
Journal ArticleDOI

Network Observability: Theory

TL;DR: In this article, a complete theory of network observability is presented, starting from a fundamental notion of the observability of a network, a number of basic facts relating to network observations, including unobservable states, observable branches, observable islands, relevancy of measurements, etc.
Journal ArticleDOI

Generalized state estimation

TL;DR: In this article, the authors describe a generalized, fully developed, estimation approach that fundamentally improves the information extraction process, which is useful both in the initial commissioning of a state estimator and in its routine real-time and study mode application.
Journal ArticleDOI

Trade-Offs in PMU Deployment for State Estimation in Active Distribution Grids

TL;DR: The authors study the meter placement problem for the measurement infrastructure of an active distribution network, where heterogeneous measurements provided by Phasor Measurement Units (PMUs) and other advanced measurement systems are used in addition to measurements typical of distribution networks.
References
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Journal ArticleDOI

Power System Observability: A Practical Algorithm Using Network Topology

TL;DR: In this paper, a power system is observable if the measurements made on it allow determination of bus voltage magnitude and angle at every bus of the network, and the theoretical basis for an algorithm for determining observability is presented.
Journal ArticleDOI

Network Observability: Theory

TL;DR: In this article, a complete theory of network observability is presented, starting from a fundamental notion of the observability of a network, a number of basic facts relating to network observations, including unobservable states, observable branches, observable islands, relevancy of measurements, etc.
Journal ArticleDOI

Reliable Bad Data Processing for Real-Time State Estimation

TL;DR: In this paper, the authors describe a very simple alternative method, with considerably improved bad data detection properties, based on evaluating the coherency between the measurement with the largest normalized residual and the remainder of the measurement system.
Journal ArticleDOI

Power System State Estimation Residual Analysis: An Algorithm Using Network Topology

TL;DR: In this paper, the authors developed the theoretical basis for determining the bad measurement detectability properties of the state estimator from the topology of the 1-line diagram and the locations of the measurements.
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