Improving of Energy Measurements Reliability Using Weighted and Normalized Residual Analysis

Elena Kochneva; Andrew Pazderin; Aleksandar Sukalo

doi:10.4028/www.scientific.net/AMM.792.255

Paper Titles

Population-Based Algorithms for Optimization of the Reactive Power Distribution and Selection of the Cable Cross-Section in the Power-Supply Systems
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On Methods of Investigation of Power Generator Differential Protection Behavior in Automatic Mode
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Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)
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The Impact of Distributed Generation on Power Quality of the Electric Network
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Improving of Energy Measurements Reliability Using Weighted and Normalized Residual Analysis
p.255

Problem of Reliability, Verification of Electrical Power Systems Simulation and Ways of Solving it
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Fixing Magnetically Operated Sealed Switches of Current Protections in Closed Electrical Pathways of Electrical Installations at 6-20 kV
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Development of Calculation Methodology of Thermal Equivalent Circuit’s Parameters for Predicting Temperature of High Voltage Cable Lines 110 - 500 kV
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Efficient Ways and Means of Reliability Increase of Distribution Networks
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 792Improving of Energy Measurements Reliability Using...

Improving of Energy Measurements Reliability Using Weighted and Normalized Residual Analysis

Abstract:

The article considers the possibility of a posteriori methods implementation for energy measurements verification. Posteriori methods are developed in the framework of state estimation theory. The new approach to calculate the parameters of electric conditions using electrical energy measurements is discussed. Test scheme with different measurements sets is considered. Results demonstrate the implementation of a posteriori analysis.

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Periodical:

Applied Mechanics and Materials (Volume 792)

Pages:

255-260

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.792.255

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Online since:

September 2015

Authors:

Elena Kochneva, Andrew Pazderin, Aleksandar Sukalo

Keywords:

Automatic Meter Reading System, Bad Data Detection, Eeectric Energy Metering Complex, Electric Mode, Energy Flow Problem, Measurement Error, Posteriori Analysis, State Estimation, Verification

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References

[1] Abur Ali, Exposito Antonio Gomez. Power System State Estimation. Marcel Dekker inc., New York, (2004).

Google Scholar

[2] A.Z. Gamm, I.N. Kolosok, Bad data detection in measurements in electric power system. Nauka, Novosibirsk, Sib. Enterpr. RAS 2000. (in Russian).

Google Scholar

[3] Minticelly. State Estimation in Electric Power Systems – a Generalized Approach. Norwell, M A: Kluwer, (1990).

Google Scholar

[4] F. F. Wu, W. -H.E. Liu, L. Holten, A. Gjelsvik, S. Aam. Comparison of Different Methods for State Estimation, IEEE Transactions on Power Systems, Vol. 3, No. 4, November 1988, pp.1798-1806.

DOI: 10.1109/59.192998

Google Scholar

[5] S.V. Yuferev, Accounting the second derivatives in the power flow calculation. Advanced Matherials Research, 960-961, pp.1013-1016.

DOI: 10.4028/www.scientific.net/amr.960-961.1013

Google Scholar

[6] A.V. Pazderin, S.E. Kokin, A.O. Egorov, E.S. Kochneva, Solution of energy flow problem using state estimation technique, ECON Proceedings (Industrial Electronics Conference) 5414817, pp.1736-1741.

DOI: 10.1109/iecon.2009.5414817

Google Scholar

[7] A.V. Pazderin, A.O. Egorov, S.A. Eroshenko, The energy meters allocation in electric systems on the basis of observability theory, 9th Conference on Environment and Electrical Engineering, EEEIC 2010 5489950, 2010, pp.167-170.

DOI: 10.1109/eeeic.2010.5489950

Google Scholar

[8] . A.V. Pazderin, E.S. Kochneva, Bad data validation on the basis of a posteriori analysis, ENERGYCON 2014 - IEEE International Energy Conference 6850456, pp.386-391.

DOI: 10.1109/energycon.2014.6850456

Google Scholar

[9] A.O. Egorov, E.S. Kochneva, A.V. Pazderin, Improving of metering information validity on the basis of the control equation method, The first international conference on sustainable power generation and supply, №1, pp.217-222, (2009).

Google Scholar