Development of a Boundary Assigned Animal Migration Optimization algorithm and its application to optimal power flow study

被引：16

作者：

Dash, Stita Pragnya ^{[1
]}

Subhashini, K. R. ^{[1
]}

Chinta, Pridvi ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect Engn, Sundergarh 769008, Odisha, India

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2022年 / 200卷

关键词：

Animal Migration Optimization; Boundary Assigned Animal Migration; Optimization; Optimal power flow; Fuel cost; Voltage deviation; Active power loss; BEE COLONY ALGORITHM;

D O I：

10.1016/j.eswa.2022.116776

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new variant of Animal Migration Optimization (AMO) algorithm known as Boundary Assigned AnimalMigration Optimization (BA-AMO) has been conceptualized to study the optimal power flow problem relatingto IEEE bus systems with reference to fuel cost minimization of generators, total voltage deviation minimizationat buses and power loss minimization in lines. The proposed method is validated against few benchmarkfunctions and then applied to some case studies in the power system domain. The performance of the proposedtechnique is compared with quite a number of well established nature inspired meta-heuristic algorithms andsignificant improvement in results have been obtained. This clearly justifies the capability of the proposedstrategy to be an efficient competitor in optimization domain

引用

页数：17

共 53 条

[1] Single- and multi-objective optimal power flow frameworks using Jaya optimization technique [J].