Title
Large-scale var optimization and planning by tabu search
Keywords
Combinatorial optimization; Power systems; Tabu search; Var planning
Abstract
A generalization on the tabu search method, recently developed for combinatorial optimization problems, is described in this paper. The novel version of the tabu search method can be used to solve a larger class of combinatorial optimization problems. Application of this method to var optimization and planning, which is formulated as a nonlinear large-scale mixed integer programming problem with non-differentiable objective function, is demonstrated. Judicious engineering judgment which is essential for a successful application of the proposed tabu search is developed. Simulation results of a real-world power system are included. A simulation comparison is done between the proposed method and the simulated annealing method, which is currently one of the most popular method for combinatorial optimization problem. © 1996 Elsevier Science S.A.
Publication Date
12-1-1996
Publication Title
Electric Power Systems Research
Volume
39
Issue
3
Number of Pages
195-204
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/S0378-7796(96)01118-2
Copyright Status
Unknown
Socpus ID
0030361398 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0030361398
STARS Citation
Gan, Deqiang; Qu, Zhihua; and Cai, Hongzhi, "Large-scale var optimization and planning by tabu search" (1996). Scopus Export 1990s. 2635.
https://stars.library.ucf.edu/scopus1990/2635