DocumentCode
175697
Title
Multi-objective optimal power flow solution based on differential harmony search algorithm
Author
Ping Ren ; Nan Li
Author_Institution
Sch. of Inf. Eng., Shenyang Univ., Shenyang, China
fYear
2014
fDate
19-21 Aug. 2014
Firstpage
326
Lastpage
329
Abstract
In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search (HS) algorithm is one of the new heuristic algorithms. The differential harmony search (DHS) optimization algorithm is introduced for the first time in solving the optimal power flow(OPF) solution. A case on optimal power flow problem in the IEEE 30 bus system is presented to show the methodology´s feasibility and efficiency, compared with the existing optimal power flow problem in power system methods, the search time of the DHS optimization algorithm is shorter and the result is close to the ideal solution, simultaneously.
Keywords
load flow control; nonlinear control systems; optimal control; search problems; DHS optimization algorithm; IEEE-30 bus system; OPF solution; differential harmony search algorithm; heuristic algorithms; multiobjective mathematical optimization problem; multiobjective optimal power flow solution; nonlinear optimal control problem; optimal power flow problem; Algorithm design and analysis; Generators; Linear programming; Load flow; Optimization; Vectors; Differential harmony search algorithm; Multi-objective; Optimal power flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4799-5150-5
Type
conf
DOI
10.1109/ICNC.2014.6975856
Filename
6975856
Link To Document