A past global optimization approach to VAr planning for the large scale electric power systems

Author

Liu, Chih-Wen ; Jwo, Wu-Shun ; Liu, Chun-Chang ; Hsiao, Ying-Tung

Author_Institution

Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan

Volume

12

Issue

1

fYear

1997

fDate

2/1/1997 12:00:00 AM

Firstpage

437

Lastpage

443

Abstract

In this paper, an innovative fast global optimization technique, hybrid partial gradient descent/simulated annealing (HPGDSA), for optimal VAr planning is presented. The HPGDSA is introduced to search the global optimal solution considering both quality and speed at the same time. The basic idea of the HPGDSA is that partial gradient descent and simulated annealing alternate with each other such that it reduces the CPU time of the conventional simulated annealing (SA) method while retaining the main characteristics of SA, i.e., the ability to get the global optimal solution. The HPGDSA was applied to a practical power system, Taiwan Power System (Tai-Power System), with satisfactory results

Keywords

power system planning; reactive power; simulated annealing; Tai-Power System; Taiwan Power System; electric power systems; fast global optimization; global optimization approach; hybrid partial gradient descent; optimal VAr planning; simulated annealing; Constraint optimization; Cost function; Large-scale systems; Power system modeling; Power system planning; Power system security; Power system simulation; Reactive power; Simulated annealing; Voltage;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/59.575761

Filename

575761