What question did this study set out to answer?

To develop a reliable identification method that resolves multiple and interacting bad data anomalies in power system state estimation.

November 1, 1984IEEE Transactions on Power Apparatus and Systems

Hypothesis Testing Identification: A New Method For Bad Data Analysis In Power System State Estimation

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Authors

TCTh. Van CutsemFund for Scientific Research MRM. Ribbens-PavellaUniversity of Liège LMLamine MiliVirginia Tech

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Implication

Methodological study reveals improved bad data detection in power system state estimation, indicating reliable performance under multiple interacting errors.

Key Points

To develop a reliable identification method that resolves multiple and interacting bad data anomalies in power system state estimation.
Calculated measurement error estimates and treated them as the primary random variables for decision-making.
Formulated hypothesis testing procedures that explicitly incorporate the statistical properties of the error estimates.
Derived two identification techniques and evaluated their performance using a realistic illustrative power system example.
The identification methodology resolved longstanding difficulties in detecting multiple interacting errors under stringent conditions without qualitative performance breakdown.
Both derived identification techniques demonstrated workable, reliable, and computationally efficient identification across all theoretically feasible test conditions.

Cite This Study

Cutsem et al. (1984) studied this question.

synapsesocial.com/papers/6a10d1ef39dd87f6d0ee63fd https://doi.org/10.1109/tpas.1984.318561

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Implication

Methodological study reveals improved bad data detection in power system state estimation, indicating reliable performance under multiple interacting errors.

Hypothesis Testing Identification: A New Method For Bad Data Analysis In Power System State Estimation

Discussion

Member takes

Implication

Key Points

Cite This Study

Hypothesis Testing Identification: A New Method For Bad Data Analysis In Power System State Estimation

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider