Semnan University Press Journal of Modeling in Engineering 2008-4854 12 37 2014 08 23 Multi-objective Multi-area Environmental and Economic Dispatch Using Cuckoo Optimization Algorithm Multi-objective Multi-area Environmental and Economic Dispatch Using Cuckoo Optimization Algorithm 89 104 1674 10.22075/jme.2017.1674 FA Saber Armaghani Nima Amjady Journal Article 2017 01 28 In this paper, for solving the Multi-Objective Multi-area Environmental Economic Load Dispatch, Cuckoo Optimization Algorithm is proposed. In resent year, the economic load dispatch is considered as a multi-area power systems problem, but, in none of these studies the environmental problem is not considered. Accordingly in this paper the model of pollution constraint is imposed and the terms of issue of the new model is considered. On the other hand, the cuckoo optimization algorithm is an evolutionary search algorithm which is proposed in recent years by researchers in various fields of engineering. However, the advantage of this algorithm for solving power systems has not been investigated. So, the ability of Cuckoo Optimization Algorithm for solving environmental economic load dispatch with respect to the contamination (the proposed model) in multi-area power systems is investigated. The proposed technique is applied on different issues in many single area systems (6, 10 and 40 generation unit) and the distribution of the economic burden of pollution provisions regarding the function of the immune system in single area (6 units, 30 buses). Finally, the proposed algorithm in solving economic load dispatch in the region of 4 units and two additional constraints is investigated. The performance of this algorithm is compared with other techniques which demonstrate the superiority of this method than the others. In this paper, for solving the Multi-Objective Multi-area Environmental Economic Load Dispatch, Cuckoo Optimization Algorithm is proposed. In resent year, the economic load dispatch is considered as a multi-area power systems problem, but, in none of these studies the environmental problem is not considered. Accordingly in this paper the model of pollution constraint is imposed and the terms of issue of the new model is considered. On the other hand, the cuckoo optimization algorithm is an evolutionary search algorithm which is proposed in recent years by researchers in various fields of engineering. However, the advantage of this algorithm for solving power systems has not been investigated. So, the ability of Cuckoo Optimization Algorithm for solving environmental economic load dispatch with respect to the contamination (the proposed model) in multi-area power systems is investigated. The proposed technique is applied on different issues in many single area systems (6, 10 and 40 generation unit) and the distribution of the economic burden of pollution provisions regarding the function of the immune system in single area (6 units, 30 buses). Finally, the proposed algorithm in solving economic load dispatch in the region of 4 units and two additional constraints is investigated. The performance of this algorithm is compared with other techniques which demonstrate the superiority of this method than the others. https://modelling.semnan.ac.ir/article_1674_af33b53056ef6ee743f53e3b9800bb3a.pdf