TY - JOUR
T1 - A New Protection Strategy for Electrical Distribution Systems
AU - Di Silvestre, Maria Luisa
AU - Cosentino, Valentina
AU - Riva Sanseverino, Eleonora
AU - Zizzo, Gaetano
AU - Campoccia, Angelo
AU - Cataliotti, Antonio
AU - Corso, Gioacchino
PY - 2010
Y1 - 2010
N2 - In this paper, the authors propose a new protection strategy for electrical Medium Voltage distribution networks, based on a distributed intelligence system composed of a central unit and of many local processing units. The distributed intelligence system can precisely identify and locate faults in suitably limited times. Each local processing unit is composed of a data acquisition system and a data analysis system. The first allows the accurate reconstruction of the fundamental using only 1.5 cycles of under fault transient electrical quantities. The second performs suitably precise on-line fault diagnosis based on the data provided by the data acquisition module. The data acquisition algorithm and the data analysis algorithm are managed by the data processing system of the remote processing units implemented on a micro-processor. With the proposed architecture, if local acquisition, elaboration and clearing times are limited, the faulted line experiences only two micro-interruptions, also during multi-phase permanent faults, with a great improvement of the quality of the service. Some experimental results on a simulated test system, proving the efficacy and simplicity of the proposed approach, are reported.
AB - In this paper, the authors propose a new protection strategy for electrical Medium Voltage distribution networks, based on a distributed intelligence system composed of a central unit and of many local processing units. The distributed intelligence system can precisely identify and locate faults in suitably limited times. Each local processing unit is composed of a data acquisition system and a data analysis system. The first allows the accurate reconstruction of the fundamental using only 1.5 cycles of under fault transient electrical quantities. The second performs suitably precise on-line fault diagnosis based on the data provided by the data acquisition module. The data acquisition algorithm and the data analysis algorithm are managed by the data processing system of the remote processing units implemented on a micro-processor. With the proposed architecture, if local acquisition, elaboration and clearing times are limited, the faulted line experiences only two micro-interruptions, also during multi-phase permanent faults, with a great improvement of the quality of the service. Some experimental results on a simulated test system, proving the efficacy and simplicity of the proposed approach, are reported.
KW - Fault Diagnosis
KW - Fault Location
KW - Fundamental Extraction
KW - Power Distribution Protection
KW - Power System Faults
KW - Fault Diagnosis
KW - Fault Location
KW - Fundamental Extraction
KW - Power Distribution Protection
KW - Power System Faults
UR - http://hdl.handle.net/10447/54100
M3 - Article
VL - 5
SP - 2224
EP - 2233
JO - International Review of Electrical Engineering
JF - International Review of Electrical Engineering
SN - 1827-6660
ER -