Artificial Immune Systems Optimization Approach for Multiobjective Distribution System Reconfiguration

@article{Alonso2015ArtificialIS,
  title={Artificial Immune Systems Optimization Approach for Multiobjective Distribution System Reconfiguration},
  author={Fausto Rubio Alonso and Denisson Queiroz Oliveira and Antonio Carlos Zambroni de Souza},
  journal={IEEE Transactions on Power Systems},
  year={2015},
  volume={30},
  pages={840-847}
}
In order to optimize their assets, electrical power distribution companies seek out various techniques to improve system operation and its different variables, like voltage levels, active power losses and so on. A few of the tools applied to meet these objectives include reactive power compensation, use of voltage regulators, and network reconfiguration. One target most companies aim at is power loss minimization; one available tool to do this is distribution system reconfiguration. To… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 24 references

Learning and optimization using the clonal selection principle

IEEE Trans. Evolutionary Computation • 2002
View 3 Excerpts
Highly Influenced

Distribution network reconfiguration for power quality and reliability improvement using genetic algorithms

N. Gupta, A. Swarnkar, K. R. Niazi
Elect. Power Energy Syst., vol. 54, pp. 664–671, 2014. • 2014
View 2 Excerpts

Multi-objective probabilistic distribution feeder reconfiguration considering wind power plants

A. Kavousi-Fard, T. Niknam, A. Khosravi
Elect. Power Energy Syst., vol. 55, pp. 680–691, 2014. • 2014
View 1 Excerpt

Multi-objetive stochastic distribution feeder reconfiguration from the reliability point of view

A. Kavousi-Fard, T. Niknam
Energy, vol. 64, pp. 342–354, 2014. • 2014
View 1 Excerpt

Optimal multi-objective distribution system reconfiguration with multi criteria decision making-based solution ranking and enhanced genetic operators

A. Mazza, G. Chicco, A. Russo
Elect. Power Energy Syst., vol. 54, pp. 255–267, 2014. • 2014
View 1 Excerpt

Optimal plug-in hybrid electric vehicles recharge in distribution power systems

D. Q. Oliveira, A. C. Zambroni de Souza, L.F.N. Delboni
Elect. Power Syst. Res. (print), vol. 98, pp. 77–85, 2013. • 2013
View 1 Excerpt

A generalized power flow analysis for distribution system with high penetration of distributed generation

H. E. Farag, E. F. El-Saadany, R. El Shatshat, A. Zidan
Elect. Power Syst. Res., vol. 81, pp. 1499–1506, 2011. • 2011
View 1 Excerpt

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