A Novel Swarm Intelligence Based Gravitational Search Algorithm for Combined Economic and Emission Dispatch Problems

被引：0
|
作者：
Dubey, Hari Mohan [1 ]
Pandit, Manjaree [1 ]
Panigrahi, Bijaya Ketan [2 ]
Udgir, Mugdha [1 ]
机构：
[1] Madhav Inst Technol & Sci Gwalior, Dept Elect Engn, Gwalior, India
[2] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi, India
来源：
SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, PT I (SEMCCO 2013) | 2013年 / 8297卷
关键词：
LOAD DISPATCH;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this article swarm Intelligence based gravitational search algorithm (PSOGSA) is used to solve combined economic and emission dispatch (CEED) problems. The CEED problem is modeled with the objective of minimizing fuel cost as well as emission level while satisfying associated operational constraints. Here the multi-objective function is converted into single objective function using price penalty method. The performance of PSOGSA approach is investigated on standard 10 unit system, 6 unit system and 40 unit system. The results obtained by simulation are compared with the recent reported results. The simulation result shows the fast convergence and its potential to solve complicated problems in power system.
引用
收藏
页码：568 / 579
页数：12
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