DocumentCode
3100776
Title
Distributed generation approach for single step system restoration during cold load pickup
Author
El-Zonkoly, A.M.
Author_Institution
Dept. of Electr. & Control Eng., Arab Acad. for Sci. & Technol., Alexandria, Egypt
fYear
2012
fDate
7-10 May 2012
Firstpage
1
Lastpage
6
Abstract
When a system is restored after an extended outage, the demand is greater than that was before the outage due to the cold load pickup (CLPU) condition. In this paper, a particle swarm optimization (PSO) algorithm is used to find the optimal sizing and siting of distributed generation (DG) units for simultaneous single step restoration of transmission and distribution networks. The aim of the proposed DG allocation algorithm is to reduce the distribution substation transformer loss of life due to overloading and to reduce the lost load and hence the additional power demand caused by CLPU. The capacity of the DG required is determined on the basis of additional power demand and the load diversity preserved. The proposed algorithm is applied to the Egyptian 66 kV transmission network in the city of Alexandria including a 33-bus and a 69-bus, 11 kV primary distribution feeders.
Keywords
distributed power generation; particle swarm optimisation; power system faults; power system restoration; power transformer protection; 33-bus primary distribution feeders; 69-bus primary distribution feeders; CLPU; cold load pickup; distributed generation; distribution substation transformer loss; load diversity; particle swarm optimization; power demand; simultaneous single step restoration; single step system restoration; voltage 11 kV; voltage 66 kV; Linear programming; Load modeling; Loading; Mathematical model; Oil insulation; Substations; Temperature control; Black-out; Distributed generation; Particle swarm optimization; Single step restoration; intentional islanding;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES
Conference_Location
Orlando, FL
ISSN
2160-8555
Print_ISBN
978-1-4673-1934-8
Electronic_ISBN
2160-8555
Type
conf
DOI
10.1109/TDC.2012.6281401
Filename
6281401
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