An improved fuzzy inference system for Voltage/VAR control

• Type: Article in International Scientific Journal
• Date: 2007

Authors

Vladimiro Miranda (Author) FEUP; André Moreira (Author) Other; Jorge Pereira (Author) FEP

Journal

Title: IEEE Transactions on Power Systems

Vol. 22 No. 4

Pages: 2013-2020

ISSN: 0885-8950

Publisher: IEEE

Indexing

ISI Web of Knowledge - 16 Citations

ISI Web of Science

Scopus - 22 Citations

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

Authenticus ID: P-004-6H2

DOI: 10.1109/tpwrs.2007.907373

Abstract (EN): This paper describes the concept of a voltage/NAR controller based on an interaction of fuzzy Mamdani controllers, with the main objective of keeping voltages at all busbars inside an admissible band while avoiding line flows to exceed admissible limits. Estimation of sensitivities via fuzzy clustering of load profiles is proposed. A complex rule base interacts with a Newton-Raphson power flow routine in iterative steps until a terminating criterion is met, following a basic min-max approach. Tests to the method reveal it as one order of magnitude faster than a competing simulated annealing routine.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8