Solution of Economic and Environmental Dispatch with Valve Point Effect Using Moth Swarm Algorithm

被引：0
|
作者：
Hussien, Abdel-rahem [1 ]
Kamel, Salah [2 ]
Ebeed, Mohamed [3 ]
机构：
[1] Minist Housing, New Urban Communities Author, Cairo, Egypt
[2] Aswan Univ, Fac Engn, Dept Elect Engn, Aswan 81542, Egypt
[3] Sohag Univ, Fac Engn, Dept Elect Engn, Sohag, Egypt
来源：
2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON) | 2017年
关键词：
Moth Swarm algorithm optimization; Combined Economic and Environmental dispatch; Valve Point Effect; DIFFERENTIAL EVOLUTION; CULTURAL ALGORITHM; LOAD DISPATCH; OPTIMIZATION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
In this paper, a new bio inspired optimization technique called Moth Swarm Algorithm (MSA) is developed to find the optimal solution for Combined Economic and Environmental dispatch (CEED) problems. Its aim to minimize both the operating fuel cost and emission levels simultaneously while satisfying load demand and operational constraints. The CEED problem is formulated as multi-objective function by considering the fuel cost and environmental pollutant impact with satisfying load demand and operational constraints. The developed algorithm is carried on two different test cases having valve point effect. The simulated result is compared with those obtained by other algorithms in the literature to confirm its effectiveness. Results show that the MSA gives best fuel cost and minimum emission than the other reported algorithms.
引用
收藏
页码：941 / 946
页数：6
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