当前位置: X-MOL 学术J. Sci. Ind. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Hybridization of ALO and GOA for Combined Economic Emission Dispatch
Journal of Scientific & Industrial Research ( IF 0.6 ) Pub Date : 2020-10-13
Hareesh Sita, P Umapathi Reddy, R Kiranmayi, S Chaithanya

A hybrid algorithm is presented for CEED problem with generation, emission and combustion of fuel & emission cost as an objective. The proposed algorithm is combined with both ant lion optimizer and grass hopper optimizations called as integrated ant lion grasshopper optimization algorithm (IALGOA). To find an optimal solution for a CEED, the IALGOA is proposed in this paper. The IALGOA performance is compared and analyzed with conventional hybrid algorithms like PSO, GSA and Adaptive Wind Driven Optimization (AWDO) under standard IEEE 30-bus test system. The presented numerical results explain IALGOA algorithm’s excellent convergence characteristics.

中文翻译:

ALO和GOA的混合用于联合经济排放调度

针对CEED问题,提出了一种混合算法,以燃料的产生,排放和燃烧及排放成本为目标。所提出的算法结合了蚂蚁优化器和草斗优化器,称为集成蚂蚁草优化算法(IALGOA)。为了找到CEED的最佳解决方案,本文提出了IALGOA。在标准IEEE 30总线测试系统下,使用常规混合算法(如PSO,GSA和自适应风力驱动优化(AWDO))对IALGOA的性能进行了比较和分析。数值结果说明了IALGOA算法的优良收敛特性。
更新日期:2020-10-13
down
wechat
bug