DocumentCode :
539014
Title :
Value based strategic integration of distributed generation
Author :
Jayaweera, Dilan ; Islam, Syed
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
fYear :
2010
fDate :
5-8 Dec. 2010
Firstpage :
1
Lastpage :
6
Abstract :
Modern distribution networks are vulnerable to increased disturbances. The uncertainties with disturbances are increased with the increased integration of intermittent distributed generation (DG) together with the event dependant phenomenon. Random and unpredictable nature of disturbances and their cascading effects in modern power networks need a solution that would mitigate severity of impacts on energy consumers. The DG can play a vital role in that context to provide strategic supports in alleviating severity. This paper proposes a Monte Carlo simulation based innovative technique for the strategic placement of intermittent DG. The technique transforms the DG contribution to alleviate impacts into the value of DG and then integrate the resultant value with the value of reduction in energy losses. The performed case study with wind and PV (photo-voltaic) suggest that the strategic integration of DG can provide benefits even at increased frequency of disturbances.
Keywords :
Monte Carlo methods; distributed power generation; photovoltaic power systems; power distribution faults; power system security; Monte Carlo simulation; distributed generation; energy losses reduction; value based strategic integration; Distributed power generation; Energy loss; Load flow; Mathematical model; Monte Carlo methods; Security; Wind power generation; Monte Carlo simulation; Wind and PV power generation; distributed generation; energy losses; security of energy supply; strategic integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference (AUPEC), 2010 20th Australasian
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-8379-2
Electronic_ISBN :
978-1-4244-8380-8
Type :
conf
Filename :
5710771
Link To Document :
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