Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators  

作　　者：Taher NIKNAM 

机构地区：[1]Electronic and Electrical Department,Shiraz University of Technology,Shiraz,Iran

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2008年第12期1753-1764,共12页浙江大学学报（英文版）A辑（应用物理与工程）

摘　　要：We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of electrical equipments such as static var compensators, voltage regulators, and under-load tap changer transformers, which have usually nonlinear and discrete characteristics. The feasibility of the proposed approach is demonstrated by comparison with the methods based on neural networks, ant colony optimization, and genetic algorithms for two test systems, a network with 34-bus radial test feeders and a realistic 80-bus 20 kV network.We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of electrical equipments such as static var compensators, voltage regulators, and under-load tap changer transformers, which have usually nonlinear and discrete characteristics. The feasibility of the proposed approach is demonstrated by comparison with the methods based on neural networks, ant colony optimization, and genetic algorithms for two test systems, a network with 34-bus radial test feeders and a realistic 80-bus 20 kV network.

关 键 词：Distributed generators （DGs） State estimation Honey-bee mating optimization （HBMO） 

分 类 号：TM61[电气工程—电力系统及自动化]