The combined economic environmental dispatch using new hybrid metaheuristic

被引：55
|
作者：
Gherbi, Yamina Ahlem [1 ]
Bouzeboudja, Hamid [1 ]
Gherbi, Fatima Zohra [2 ]
机构：
[1] USTO, Durable Dev Elect Power Lab, Fac Elect Engn, Oran 31000, Algeria
[2] Djiilali Liabes Univ, Intelligent Control & Elect Power Syst Lab, Sidi Bel Abbes 22000, Algeria
来源：
ENERGY | 2016年 / 115卷
关键词：
Multi-objective optimization; Economic-environmental dispatch; Metaheuristic algorithm; Firefly algorithm; Bat algorithm and hybrid algorithm; PARTICLE SWARM OPTIMIZATION; EMISSION DISPATCH; FIREFLY ALGORITHM; LOAD; SEARCH;
D O I：
10.1016/j.energy.2016.08.079
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
The combined economic/environmental dispatch treats the economic and environmental impact as competing objectives. This requires effective optimization algorithms to achieve a solution. The firefly algorithm and bat algorithm are the latest methods; they have already proven their effectiveness in several research areas. In this paper, we will use these two methods to optimize the production cost and the emission of NOx for three tests networks: three units systems, six units system and the last fourteen units systems, with variable transmission losses and different loads. Then the hybridization of these two Metaheuristics is developed and tested. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：468 / 477
页数：10
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