DocumentCode :
3368625
Title :
Remote diagnosis of electrical distribution networks
Author :
Gilot, Alain
Author_Institution :
Schneider Electr., France
Volume :
1
fYear :
2001
fDate :
2001
Abstract :
Remote diagnosis of electrical distribution networks contributes greatly to their global performance, obviously on technical grounds but also on 3 economic factors: (1) the reduction of technical losses through a detailed knowledge of all energy flows at various nodes of the network; (2) the optimisation of investments and of operational costs through precise information on the network status and its operation conditions; such information permits the organisation of preventive conditional maintenance (only where needed, when needed); this optimises the return on investment by extending the operating life of equipment without compromising the network technical performance; and (3) the improvement of the energy dependability (availability and quality) through close monitoring of the energy delivery conditions and the identification of the possible need for correction and their most efficient locations. This paper discusses the diagnosis method and the four actions involved in the continuous diagnosis process for a network
Keywords :
investment; losses; power distribution economics; power system measurement; telemetry; continuous diagnosis process; diagnosis method; economic factors; electrical distribution networks; energy delivery conditions; energy dependability; energy flows; equipment operating life extension; global performance; investment optimisation; network status; operation conditions; operational costs optimisation; preventive conditional maintenance; remote diagnosis; return on investment; technical losses reduction;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Electricity Distribution, 2001. Part 1: Contributions. CIRED. 16th International Conference and Exhibition on (IEE Conf. Publ No. 482)
Conference_Location :
Amsterdam
ISSN :
0537-9989
Print_ISBN :
0-85296-735-7
Type :
conf
DOI :
10.1049/cp:20010717
Filename :
942820
Link To Document :
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