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Journal ArticleDOI

Ampere Magnitude Line Measurements for Power Systems State Estimation

Kenneth I. Geisler
- 01 Aug 1984 - 
- Vol. 103, Iss: 8, pp 1962-1969
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TLDR
In this paper, the applicability of ampere magnitude line measurements to power system observability and on-line use in Energy Control Centers is examined and a simple five bus example is presented.
Abstract
This paper describes methods for overcoming the problems associated with utilizing ampere magnitude line measurements in Power System State Estimators. The applicability of ampere magnitude measurements to Power System observability and on-line use in Energy Control Centers is examined. A simple five bus example is presented to point out various properties of ampere solutions and further test results with the IEEE 30 bus test system are discussed.

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Citations
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Journal ArticleDOI

State estimation for real-time monitoring of distribution systems

TL;DR: In this article, a three-phase state estimation method is developed to increase the accuracy of this load data, which is based on the weighted least square approach and uses a threephase node voltage formulation.
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.
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Stochastic Monitoring of Distribution Networks Including Correlated Input Variables

TL;DR: In this article, the authors introduce the use of Gaussian mixtures models as input variables in stochastic power flow studies and state estimation of distribution networks, which are relevant for the efficient exploitation of renewable energy sources and the secure operation of network assets.
Journal ArticleDOI

Optimal static state estimation using improved particle swarm optimization and gravitational search algorithm

TL;DR: Two novel evolutionary search techniques based on Improved Particle Swarm Optimization algorithm and Gravitational Search Algorithm have been proposed to solve the static State Estimation (SE) problem as an optimization problem.
Journal ArticleDOI

Detecting multiple solutions in state estimation in the presence of current magnitude measurements

TL;DR: In this paper, a simple method based on the commonly used measurement residual covariance matrix, in order to detect the possibility of multiple solutions for a given measurement set, is proposed, which can be utilized as a planning tool during the initial stages of measurement system design as well as an online observability analysis tool to enhance the capability of existing observability programs which can not properly process the current magnitude measurements.
References
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Journal ArticleDOI

Power System Static-State Estimation, Part I: Exact Model

TL;DR: Discussions center on the general nature of the problem, mathematical modeling, an interative technique for calculating the state estimate, and concepts underlying the detection and identification of modeling errors.
Journal ArticleDOI

State Estimation in Power Systems: Detecting Bad Data through the Sparse Inverse Matrix Method

TL;DR: In the real time control of power system, the state estimation function plays a leading role and must detect and eliminate the grossly erroneous measurements.
Journal ArticleDOI

State Estimation Based External Network Solution For On-Line Security Analysis

TL;DR: This paper presents a method that extends the state estimation techniques, instead of using the power flow for the external network solution, and results indicate improved solution flexibility,, error detection and location abilities, and significant reduction in boundary errors.
Journal ArticleDOI

Estimation Algorithms for Large-Scale Power Systems

TL;DR: The enhancement of this data base through advanced estimation programs for the states and parameters of the network is considered and the role of such programs and the different forms they take are presented in a comprehensive and unified manner.
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