Distributed generator sizing via evolutionary particle swarm optimization
With the existence of Distribution Generator (DG) in distribution network, the power losses in the network can be minimized by resizing the power output of each DG units. In line with this objective, most researchers have concentrated on the optimization technique to regulate the DG's outp...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/46823/ http://dx.doi.org/10.2316/P.2012.768-034 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | With the existence of Distribution Generator (DG) in
distribution network, the power losses in the network can
be minimized by resizing the power output of each DG
units. In line with this objective, most researchers have
concentrated on the optimization technique to regulate the
DG's output to compute its optimal size. In this paper, the
concept of Evolutionary Particle Swarm Optimization
(EPSO) method is implemented in sizing the DG units.
By applying the concept of Evolutionary Programming
(EP) in Particle Swarm Optimization (PSO), it will allow
the only successful particles to move toward the optimal
value and make the process of convergence become
faster. The algorithm has been tested in 33 bus
distribution system with 3 units of DG that operate in PV
mode. Its performance was compared with the
performance when using the traditional PSO. In terms of
power loss reduction and voltage profile, the EPSO gives
similar performance as PSO. Morever, it requires less
number of iteration to converge. Thus, EPSO can reach
the optimal value in shorter time while maintaining the
traditional PSO's performance. |
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