Power Transmission Network Design by Greedy Randomized Adaptive Path Relinking

200598 citationsJournal Article

Authors

Haroldo de Faria · Centro de Ensino Superior de Juiz de Fora

Maurício G. C. Resende · AT&T (United States)

D.M. Falcão · Universidade Federal do Rio de Janeiro

Abstract

This work presents results obtained by a new metaheuristic approach called greedy randomized adaptive path relinking (GRAPR), applied to solve static power transmission network design problems. This new approach uses generalized GRASP concepts to explore different trajectories between two "high-quality" solutions previously found. The results presented were obtained from two real-world case studies of Brazilian systems.

Topics & Keywords

Electric Power System Optimization Optimal Power Flow Distribution Power System Reliability and Maintenance

Publication Details

Published in: IEEE Transactions on Power Systems

Volume 20, Issue 1, pp. 43-49

DOI: 10.1109/tpwrs.2004.835627

Field-Weighted Citation Impact: 2.85

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Power Transmission Network Design by Greedy Randomized Adaptive Path Relinking

Authors

Abstract

Topics & Keywords

Publication Details