Optimal siting and sizing of distributed generation accompanied by reconfiguration of distribution networks for maximum loss reduction by using a new UVDA-based heuristic method-Reference-Cited by-同舟云学术

Optimal siting and sizing of distributed generation accompanied by reconfiguration of distribution networks for maximum loss reduction by using a new UVDA-based heuristic method

Published:2016-05 Issue: Volume:77 Page:360-371
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Bayat A.,Bagheri A.,Noroozian R.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference32 articles.

1. An analytical method for the sizing and siting of distributed generators in radial systems;Gozel;Elect Power Syst Res,2009

2. Rosehart W, Nowicki E. Optimal placement of distributed generation. In: Proc. 14th power system computation conf., Sevilla; 2002. p. 1–5.

3. Optimum location of resources in distributed planning;Rau;IEEE Trans Power Syst,1994

4. Griffin T, Tomsovic K, Secrest D, Law A. Placement of dispersed generation systems for reduced losses. In: Proc. 33rd International conference on system sciences, Hawaii; 2000.

5. Planning the location and rating of distributed energy storage in LV networks using a genetic algorithm with simulated annealing;Crossland;Elect Power Energy Syst,2014

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