Branch-and-Bound Guided Search for Critical Elements in State Estimation
| Autor: | Marcio Andre Ribeiro Guimaraens, Andre Abel Augusto, Julio Cesar Stacchini de Souza, Milton Brown Do Coutto Filho |
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| Rok vydání: | 2019 |
| Předmět: |
Branch and bound
Computer science 020209 energy Reliability (computer networking) Process (computing) Energy Engineering and Power Technology 02 engineering and technology Grid Unobservable Identification (information) 0202 electrical engineering electronic engineering information engineering Benchmark (computing) Electrical and Electronic Engineering Unavailability Algorithm |
| Zdroj: | IEEE Transactions on Power Systems. 34:2292-2301 |
| ISSN: | 1558-0679 0885-8950 |
| DOI: | 10.1109/tpwrs.2018.2881421 |
| Popis: | State estimation (SE) is essentially a filtering process with an avid appetite for data. When destitute of redundant, varied, and well-located measurements, SE suffers the consequences of having a poor capability for grid observation. In that event, SE may produce unreliable results, since bad data detection/identification is performed in a precarious way. In short, the presence of critical data (those whose unavailability makes the grid unobservable), limits the SE performance. The search for critical elements of the SE process—e.g., measurements, considered individually or in groups—is an indispensable, laborious task, which involves solving a problem of combinatorial nature. This paper proposes a methodology for the identification of critical data by means of the branch-and-bound paradigm. Numerical results performed on IEEE benchmark systems demonstrate the potential/practical application of the proposed methodology. |
| Databáze: | OpenAIRE |
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