Fast Decoupled State Estimation and Bad Data Processing

Garcia, A.V.; Monticelli, A.; Abreu, Pedro

doi:10.1109/tpas.1979.319482

Cited by 212 publications

(51 citation statements)

References 6 publications

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“…Phasor data concentrator 23 10 an important function in the management and control of the operations of electric transmission 11 networks all over the world. It has strengthened the SCADA systems and eventually led to the DSSE more significant.…”

Section: Pdcmentioning

confidence: 99%

“…A SE technique, which uses available set of remote measurements (voltages, 22 real and reactive power and substations currents) along with statistical load data of distribution 23 transformers, is proposed in [29]. Similar SE techniques with three phase details are presented in 24 [30] and [31].…”

Section: Adapting Wls Based Tsse To Dssementioning

confidence: 99%

“…It detects and eliminates the gross measurement errors subject to 10 the presence of sufficient measurement redundancy. Bad data processing and elimination can be 11 found in [18][19][20][21][22][23]. Finally, the system state is obtained by the state estimator using the processed 12 measurements and results from observability analyzer and topology processor [3,24].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Distribution system state estimation-A step towards smart grid

Ahmad

Rasool

Özsoy

et al. 2018

Renewable and Sustainable Energy Reviews

137

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Section: Pdcmentioning

confidence: 99%

Section: Adapting Wls Based Tsse To Dssementioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Distribution system state estimation-A step towards smart grid

Ahmad

Rasool

Özsoy

et al. 2018

Renewable and Sustainable Energy Reviews

137

View full text Add to dashboard Cite

“…There exist multiple different bad data detection algorithms in literature [16], [18], [19]. In this work, a simple bad data detector is implemented and designed to run after each iteration of the state estimation algorithm.…”

Section: A Bad Data Detection Identification and Eliminationmentioning

confidence: 99%

Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System

Rasmussen¹,

Yang²,

Nielsen³

et al. 2017

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

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Abstract-The transition towards a cyber-physical energy system (CPES) entails an increased dependency on valid data. Simultaneously, an increasing implementation of renewable generation leads to possible control actions at individual distributed energy resources (DERs). A state estimation covering the whole system, including individual DER, is time consuming and numerically challenging. This paper presents the approach and results of implementing a simplified state estimator onto an embedded system for improving DER monitoring. The implemented state estimator is based on numerically robust orthogonal factorization and used on a set of state equations of a generic wind turbine generator (WTG). The simplified state estimator is tested by simulating a generic WTG model and evaluated based on its execution time and estimation accuracy. Results show its fast execution time, its accuracy in handling normal measurement error and its ability to provide reliable data in the case of gross errors in the set of measurements.

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“…The model and implementation of SE were firstly proposed by Schweppe and Wildes in [2][3][4] in 1970. From then on, various SE models have been proposed, among which the weighted least square (WLS) approach and the fast-decoupled SE (FDSE) approach [5] are the most popular SE methods; but WLS and FDSE are very sensitive to bad measurements, i.e. bad data (BD).…”

Section: Introductionmentioning

confidence: 99%

A mixed-integer linear programming approach for robust state estimation

Chen

Jin

2014

J. Mod. Power Syst. Clean Energy

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In this paper, a mixed integer linear programming (MILP) formulation for robust state estimation (RSE) is proposed. By using the exactly linearized measurement equations instead of the original nonlinear ones, the existing mixed integer nonlinear programming formulation for RSE is converted to a MILP problem. The proposed approach not only guarantees to find the global optimum, but also does not have convergence problems. Simulation results on a rudimentary 3-bus system and several IEEE standard test systems fully illustrate that the proposed methodology is effective with high efficiency.

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Fast Decoupled State Estimation and Bad Data Processing

Cited by 212 publications

References 6 publications

Distribution system state estimation-A step towards smart grid

Distribution system state estimation-A step towards smart grid

Implementation of a Simplified State Estimator for Wind Turbine Monitoring on an Embedded System

A mixed-integer linear programming approach for robust state estimation

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