Optimal generation scheduling of thermal System using biologically inspired Grasshopper Algorithm

被引：0

作者：

Rajput, Neelam ^{[1
]}

Chaudhary, Vishal ^{[1
]}

Dubey, Hari Mohan ^{[1
]}

Pandit, Manjaree ^{[1
]}

机构：

[1] Madhav Inst Sci & Technol, Dept Elect Engn, Gwalior, India

来源：

2017 2ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATION AND NETWORKS (TEL-NET) | 2017年

关键词：

economic dispatch; valve point loading effect; transmission loss; Grasshopper Optimization; ECONOMIC LOAD DISPATCH; PROHIBITED OPERATING ZONES; DIFFERENTIAL EVOLUTION; OPTIMIZATION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents Grasshopper Optimization Algorithm (GOA) for solution of economic dispatch (ED) problem related to electrical power systems. GOA is a novel bio inspired optimization approach that mimics the behavior of grasshopper insect during optimization. To check the feasibility and validity of GOA it is employed to solve three different types of ED problems comprising of small, medium and large scale power systems having different complexity levels. The experimental results show that the GOA method is quite promising for solving a wide range of ED problems very efficiently. The performance of the GOA is found to be superior to other recently reported methods available in literature.

引用

页码：474 / 479

页数：6

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