Probabilistic assessment of state estimation capabilities for grid observation

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Augusto, AA (Author) Other; Do Coutto Filho, MB (Author) Other; Stacchini de Souza, JCS (Author) Other; Vladimiro Miranda (Author) FEUP

Journal

Title: IET Generation Transmission & Distribution

Vol. 10

Pages: 2933-2941

ISSN: 1751-8687

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 8 Citations

Other information

Authenticus ID: P-00K-T4P

DOI: 10.1049/iet-gtd.2015.1406

Abstract (EN): State estimation (SE) has been considered the fulcrum of advanced computer-aided tools used to monitor, control, and optimise the performance of power grids. It is destined for the provision of a consistent real-time dataset, free of compromising errors. To the SE eye, observability is the faculty of seeing the actual system operating state. As such, it is vital to evaluate this faculty, especially in quantitative terms. Drawing a parallel between the financial market (in which investment grades - intended to signal the suitability of an investment - are assigned by credit rating agencies) and SE arena, this study proposes the establishment of observation grades. With a view to performing a reliable SE, these are defined as ratings capable of indicating that a measurement system (devoted to observing the state of a power grid under many different conditions), has a seal of approval, i.e. relatively low risk of being unsuccessful. The methodology proposed to express observation grades is based on the Monte Carlo simulation approach. The availability of measurement units and grid branches are adequately considered. Numerical results of a proof of concept study performed on the 24- and 118-bus benchmark systems illustrate the application and expected benefits of the proposed methodology.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9