Title :
Application of Enhanced Honey-Bee Mating Optimization Algorithm to Fault Section Estimation in Power Systems
Author :
Shyh-Jier Huang ; Xian-Zong Liu ; Wei-Fu Su ; Ting-Chia Ou
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
An application of plant growth simulation algorithm-enhanced honey-bee mating optimization is proposed to solve the fault section estimation problem in a power system. This approach is proposed because the local search capability of the honey-bee mating optimization is highly dependent on the parameter decisions. An inappropriate selection of parameters may affect the computation efficiency. This paper hence has added the plant growth simulation algorithm to enhance the honey-bee mating optimization so that the work of external parameter settings can be economized while the overall computation can be improved. In order to validate the effectiveness of this method, we have conducted the approach on practical power systems. Test results confirm the feasibility of this proposed method for the application considered.
Keywords :
optimisation; power system faults; search problems; computation efήciency; enhanced honey-bee mating optimization algorithm; fault section estimation problem; parameter decisions; parameters selection; plant growth simulation algorithm; power systems; Computational modeling; Estimation; Optimization; Power systems; Protective relaying; Unmanned aerial vehicles; Fault section estimation; honey-bee mating optimization; plant growth simulation algorithm;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2013.2264142