Voltage Stability Enhancement and Voltage Deviation Minimization Using Ant-Lion Optimizer Algorithm

被引：0

作者：

Trivedi, Indrajit N.

Parmar, Siddharth A.

Bhesdadiya, R. H.

Jangir, Pradeep ^{[1
]}

机构：

[1] GEC, Dept Elect Engn, Gandhinagar, Gujarat, India

来源：

PROCEEDINGS OF THE 2016 IEEE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ELECTRICAL & ELECTRONICS, INFORMATION, COMMUNICATION & BIO INFORMATICS (IEEE AEEICB-2016) | 2016年

关键词：

Optimal power flow; Voltage stability; Power system Optimisation; Ant Lion Optimizer; FLOW;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimisation algorithm Ant Lion Optimizer (ALO). ALO is inspired by the hunting mechanism of Ant Lions in the natural environment. ALO has a fast convergence rate due to use of roulette wheel selection method. In order to resolve the optimal power flow problem, standard IEEE-30 bus system is used. ALO is implemented for the solution of proposed problem. The problems considered in the OPF problem are Fuel Cost Reduction, Voltage Deviation Minimization, and Voltage Stability Improvement. The results obtained by ALO is compared with other techniques such as Firefly Algorithm (FA) and Particle Swarm Optimizer (PSO). Results shows that ALO gives better optimisation values as compared with FA and PSO that confirms the effectiveness of the suggested algorithm.

引用

页码：263 / 267

页数：5