DocumentCode
709543
Title
Effective residual processing method for event detection in residential appliances
Author
Mouelhi, F. ; Ben Attia Sethom, H. ; Slama-Belkhodja, I.
Author_Institution
Lab. des Syst. Electr., Univ. de Tunis El Manar, Tunis, Tunisia
fYear
2015
fDate
24-26 March 2015
Firstpage
1
Lastpage
6
Abstract
This paper is concerned with the effectiveness of events detection in residential sector, in order to distinguish a residential load event switching ON/OFF from residential load default occurrence. The considered load defaults are short circuits and voltage drops. The proposed method is based on parity equation for processing a load residual signature starting from the transient and steady state of residential loads current. First, different types of loads have been considered in order to detect their normal operating turning ON/OFF. Second, load default occurrences have been analyzed in order to elaborate residual values which characterize each appliance operating mode. The paper analytically shows that a default or an event occurrence is characterized by a unique residual pattern which allows an effective identification of any event. Both simulation and experimental results are presented to demonstrate the effectiveness of the proposed method.
Keywords
domestic appliances; electric potential; power system transients; appliance operating mode; event detection; load residual signature starting; parity equation; residential appliances; residential load default occurrence; residential load event switching; residential sector; residual processing method; residual values; short circuits; steady state; transient state; unique residual pattern; voltage drops; Event detection; Home appliances; Load modeling; Mathematical model; Shape; Switches; Turning; default; event detection; identification; parity equation; residential appliance;
fLanguage
English
Publisher
ieee
Conference_Titel
Renewable Energy Congress (IREC), 2015 6th International
Conference_Location
Sousse
Type
conf
DOI
10.1109/IREC.2015.7110939
Filename
7110939
Link To Document