DocumentCode
3109625
Title
Performance analysis of distribution network with optimally sized WTGS based DGs considering wind speed variation
Author
Vijitha, K. ; Selvan, M.P.
Author_Institution
Dept. of EEE, Nat. Inst. of Technol., Tiruchirappalli, India
fYear
2013
fDate
13-15 Dec. 2013
Firstpage
1
Lastpage
6
Abstract
The grid integration of Distributed Generation (DG) is considerably increasing in recent days in order to meet the ever increasing electricity demand and reserve the fossil fuel resources. The purpose of the present work is to analyze the network performance with optimally sized Wind Turbine Generator System (WTGS) based DG units with random wind velocity variations. In the present work, three DG units are integrated in the Radial Distribution System (RDS) simultaneously. The grid integration points of DG units are determined using Maximum Penetration Ranking. The sizing of DG is carried out by optimizing a multi-objective function formulated using Goal Attainment Method. The solution of the multi-objective function is obtained employing Particle Swarm Optimization (PSO) technique. The network performance is evaluated by varying the stator connection of WTGS based on wind speed and also by varying the network parameters. The analysis is carried out in a 25-bus radial distribution network considering different wind velocity patterns.
Keywords
distributed power generation; distribution networks; particle swarm optimisation; wind turbines; DG units; PSO technique; RDS; distributed generation; distribution network; goal attainment method; maximum penetration ranking; optimally sized WTGS; particle swarm optimization; performance analysis; radial distribution system; wind speed variation; wind turbine generator system; Induction generators; Reactive power; Stator windings; Switches; Wind speed; Distributed Generation; Maximum Penetration Ranking; Particle Swarm Optimization; Wind Turbine Generator System; Wind velocity variation;
fLanguage
English
Publisher
ieee
Conference_Titel
India Conference (INDICON), 2013 Annual IEEE
Conference_Location
Mumbai
Print_ISBN
978-1-4799-2274-1
Type
conf
DOI
10.1109/INDCON.2013.6725962
Filename
6725962
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