DocumentCode :
2813415
Title :
Hybrid Particle Swarm Optimization Approach for Optimal Distribution Generation Sizing and Allocation in Distribution Systems
Author :
AlHajri, M.F. ; AlRashidi, M.R. ; El-Hawary, M.E.
Author_Institution :
Dalhousie Univ., Halifax
fYear :
2007
fDate :
22-26 April 2007
Firstpage :
1290
Lastpage :
1293
Abstract :
This paper presents a novel particle swarm optimization based approach to optimally incorporate a distribution generator into a distribution system. The proposed algorithm combines particle swarm optimization with load flow algorithm to solve the problem in a single step, i.e. finding the best combination of location and size simultaneously. In the developed algorithm, the objective function to be minimized is the total network power losses while satisfying the voltage constraints imposed on the system. It is formulated as constrained mixed integer nonlinear programming problem with the location being discrete. The 69 bus radial distribution system has been used to validate the proposed method. Test results demonstrate the effectiveness and robustness of the developed algorithm.
Keywords :
distributed power generation; integer programming; load flow; nonlinear programming; particle swarm optimisation; constrained mixed integer nonlinear programming problem; distribution generation allocation; distribution generation sizing; distribution generator; hybrid particle swarm optimization; load flow algorithm; network power losses; radial distribution system; Costs; Distributed power generation; Hybrid power systems; Legislation; Load flow; Particle swarm optimization; Power generation; Testing; Voltage; Wind energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
Conference_Location :
Vancouver, BC
ISSN :
0840-7789
Print_ISBN :
1-4244-1020-7
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2007.328
Filename :
4232987
Link To Document :
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