Optimal estimation for fault sections in power systems based on differential harmony search

Author

Ping Ren ; Nan Li

Author_Institution

Sch. of Inf. Eng., Shenyang Univ., Shenyang, China

fYear

2013

fDate

23-25 July 2013

Firstpage

817

Lastpage

821

Abstract

In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Differential Harmony search (DHS) algorithm is one of the new heuristic algorithms. The DHS optimization algorithm is introduced for the first time in solving the fault sections estimation performance in power systems. A case on optimal estimation for fault section in the part of the 230KV Southern Brazilian electric power system is presented to show the methodology´s feasibility and efficiency. Compared with the existing fault section estimation in power system methods, the search time of the DHS optimization algorithm is shorter and the result is close to the ideal solution.

Keywords

nonlinear control systems; optimal control; power system control; power system faults; search problems; Brazil; DHS optimization algorithm; differential harmony search; fault section estimation performance; multiobjective mathematical optimization problem; nonlinear optimal control problem; power systems; voltage 230 kV; Algorithm design and analysis; Circuit breakers; Circuit faults; Estimation; Optimization; Relays; Vectors; Differential harmony search; Fault sections; Optimal estimation; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2013 Ninth International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/ICNC.2013.6818088

Filename

6818088