Merging conventional and phasor measurements in state estimation: a multi-criteria perspective

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Tavares, B (Author) Other; Freitas, V (Author) Other; Vladimiro Miranda (Author) FEUP; Costa, AS (Author) Other

Conference proceedings International

Title: 2017 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP)

19th International Conference on Intelligent System Application to Power Systems (ISAP)

San Antonio, TX, SEP 17-20, 2017

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00N-AZK

DOI: 10.1109/isap.2017.8071423

Abstract (EN): This paper presents a new proposal for sensor fusion in power system state estimation, analyzing the case of data sets composed of conventional measurements and phasor measurements from PMUs. The approach is based on multiple criteria decision-making concepts. The equivalence of an L-1 metric in the attribute space to the results from a Bar-Shalom-Campo fusion model is established. The paper shows that the new fusion proposal allows understanding the consequences of attributing different levels of confidence or trust to both systems. A case study provides insight into the new model.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6