DocumentCode :
570074
Title :
Optimal planning of distribution system considering distributed generators
Author :
Huishi Liang ; Sige Liu ; Jian Su
Author_Institution :
CEPRI, Beijing, China
fYear :
2012
fDate :
29-30 May 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a methodology for substation optimal planning considering DG for peak shaving. Utility can take effective demand-side management (DSM) to encourage customer-owned DG to participate in peak load shaving, and it can also construct utility DG to meet the peak load demand. In this paper, the impact of DG on peak load shaving is analyzed, and DG is taken as a complement to T&D system to meet load demand, which is considered in the substation planning. Substations sizing and location and new-built utility DG capacity is optimized using Particle Swarm Optimization (PSO), in which supply area of each substation is obtained by Voronoi diagram method. Case study shows that planning result considering DG for peak shaving can defer T&D system expansion so that considerable investment can be saved. Especially for those areas with high cost of T&D system construction, constructing DG to meet peak load demand would be a more economic way.
Keywords :
computational geometry; demand side management; distributed power generation; electric generators; investment; particle swarm optimisation; power distribution planning; power generation planning; substations; DSM; PSO; T&D system construction; Voronoi diagram method; customer-owned DG; demand-side management; distributed generators; distribution system; new-built utility DG capacity; particle swarm optimization; peak load demand; peak load shaving; substation optimal planning; substations location; substations sizing; utility DG;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Integration of Renewables into the Distribution Grid, CIRED 2012 Workshop
Conference_Location :
Lisbon
Electronic_ISBN :
978-1--84919-628-4
Type :
conf
DOI :
10.1049/cp.2012.0792
Filename :
6302424
Link To Document :
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