Bad data detection at decomposition of state estimation problem

Kolosok, Irina; Korkina, Elena; Paltsev, A. S.

doi:10.1109/ptc.2011.6019459

Cited by 6 publications

(4 citation statements)

References 15 publications

(19 reference statements)

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“…Small number of PMU installations makes it possible to obtain the calculated values of U, δ(using the so called "calculated" PMUs) at the other boundary nodes. The accuracy of the calculated values is comparable with the accuracy of measurements provided by real PMUs [23].…”

Section: A Distributed State Estimationsupporting

confidence: 71%

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Coordinated monitoring of large scale interconnected power systems

Gorner¹,

Rehtanz²,

Kolosok

et al. 2013

2013 IEEE Power &Amp; Energy Society General Meeting

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This paper presents the final result of a joint EU and Russian project called ICOEUR (Intelligent Coordination of Operation and Emergency Control of EU and Russian Power Grids). The presented results are about the extension and interconnection of large scale power systems from the perspective of monitoring and control. In this paper the authors identify algorithms and monitoring technologies for the identification of full system states and dynamic behavior of system. The algorithms are validated with realistic models from the European and Russian power system. The results lead to a coordination platform which applies Distributed and Dynamic State Estimation in order to manage cross border flows.

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Section: A Distributed State Estimationsupporting

confidence: 71%

“…The State Estimation algorithm can be reduced to minimization of objective function with constraints in the form of a system of TEs. In this statement the SE problem can be solved directly in coordinates of the measured parameters [23].…”

Section: ) State Estimation For Each Subsystemmentioning

confidence: 99%

Coordinated monitoring of large scale interconnected power systems

Gorner¹,

Rehtanz²,

Kolosok

et al. 2013

2013 IEEE Power &Amp; Energy Society General Meeting

Self Cite

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“… Improved efficiency of algorithms for Bad Data Detection [7] and better accuracy of SE results. The Dynamic State Estimation algorithms allow for:…”

Section: Resultsmentioning

confidence: 99%

Physical and Technical Energy Problems: Testing of the Prototype for State Estimation of Large-Scale Power Systems / Lielo Energosistēmu Stāvokļa Novērtēšanas Prototipa Testēšana

Kochukov¹,

Briņķis²,

Mutule³

2013

Latvian Journal of Physics and Technical Sciences

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The paper describes the algorithm for distributed state estimation (SE) and is focused on its testing and validation. For this purpose, different events in the modeled power system of the 330-750 kV electrical ring LatviaLithuania -Belarus -Smolensk -Moscow -St. Petersburg -EstoniaLatvia were considered. The methods for testing the Inter-TSO SE prototype and dynamic network monitoring & modeling are based on comparison of the available SCADA data about real events with those of SE calculation. In total, four operational states were studied, including initial, accident and two post-accident operational states.

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“…, -resistance and reactance of line i-j. The studies (Kolosok et al, 2009) showed that the accuracy of measurements provided by the "calculated" PMU almost equals the accuracy of measurements received from the physical PMU; 3. As pseudo-measurements of power flows calculated on the basis of vector measurements from expressions:…”

Section: Application Of Pmu Measurements In Electric Power System Sta...mentioning

confidence: 97%

PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation

Kolosok

Korkina

Glazunova

2014

International Journal of Energy Optimization and Engineering

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Creation of satellite communication systems gave rise to a new generation of measurement equipment – Phasor Measurement Unit (PMU). Integrated into the measurement system WAMS, the PMU sensors provide a real picture of state of energy power system (EPS). The issues of PMU placement when solving the problem of EPS state estimation (SE) are discussed in many papers. PMU placement is a complex combinatorial problem, and there is not any analytical function to optimize its variables. Therefore, this problem is often solved by the heuristic optimization methods. Depending on the chosen set of sensors (SCADA&PMU; only PMU; PMU placement based on the concept of depth of unobservability), one can obtain no less than 3 different variants of placing PMUs for one and the same system. The paper describes the PMU placement criteria suggested by the authors to solve the SE problem. Among them: improvement of bad data detection, maximum accuracy of estimates, transformation of the system graph into a tree, maximum number of measurements to be added, PMU placement during the decomposition of the power system SE problem. It is shown that the correct selection of PMU placement criteria can improve the solutions to these problems.

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Bad data detection at decomposition of state estimation problem

Cited by 6 publications

References 15 publications

Coordinated monitoring of large scale interconnected power systems

Coordinated monitoring of large scale interconnected power systems

Physical and Technical Energy Problems: Testing of the Prototype for State Estimation of Large-Scale Power Systems / Lielo Energosistēmu Stāvokļa Novērtēšanas Prototipa Testēšana

PMU Placement Based on Heuristic Methods, when Solving the Problem of EPS State Estimation

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