Probabilistic Low-Voltage State Estimation Using Analog-Search Techniques

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Bessa, R (Author) Other; Sampaio, G (Author) Other; Vladimiro Miranda (Author) FEUP; Pereira, J (Author) FEP

Conference proceedings International

Title: 2018 Power Systems Computation Conference (PSCC)

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 15 Citations

Other information

Authenticus ID: P-00P-GQP

DOI: 10.23919/pscc.2018.8443074

Abstract (EN): Power systems are becoming more complex and the need for increased awareness at the lower voltage levels of the distribution grid requires new tools that provide a reliable and accurate estimation of the system state. This paper describes an innovative state estimation method for low voltage (LV) grids that analyses similarities between a real-time snapshot comprising only a subset of smart meters with real-time communications and fully observed system states present in historical data. Real-time estimates of voltage magnitudes are obtained by smoothing the most similar past snapshots with a data-driven methodology that does not relies on full knowledge of the grid topology and electrical characteristics. Moreover, the output of the LV state estimator is a conditional probability distribution obtained with kernel density estimation. The results show highly accurate estimation of voltage magnitude, even in a scenario characterized by a strong integration of photovoltaic (PV) microgeneration.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7