Application of modified NSGA-II algorithm to Combined Economic and Emission Dispatch problem
Application of modified NSGA-II algorithm to Combined Economic and Emission Dispatch problem
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DOI：
10.1016/j.ijepes.2011.01.014
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发表时间：
2011-05
影响因子：
5.2
通讯作者：
S. Dhanalakshmi;S. Kannan;K. Mahadevan;S. Baskar
中科院分区：
文献类型：
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作者：
S. Dhanalakshmi;S. Kannan;K. Mahadevan;S. Baskar
本文提出了一种改进的NSGA-II算法，用于经济和排放调度问题。现有的NSGA-II存在的缺点是，如，缺乏一致的多样性在所获得的非支配解和缺乏一个横向的多样性保持算子之间的当前最好的非支配解。这两个缺点已经克服了引入动态拥挤距离（DCD）和控制精英（CE）到NSGA-II。所开发的算法MNSGA-II已被应用到一个标准的IEEE 14-，30-，57-和118节点系统，以检查其适用性。实验结果验证了MNSGA-II算法求解CEED问题的潜力和有效性。此外，为了证明所得到的结果，使用了四种不同的性能指标γ、δ、最小间距和逆世代距离（IGD）。这些指标将支持评估接近参考帕累托最优前沿。该方法基于TOPSIS法从所有Pareto最优解中选择一个解作为最佳折衷解。
This paper presents a modified NSGA-II algorithm for economic and emission dispatch problem. The available NSGA-II has the drawbacks such as, lack of uniform diversity in obtained non-dominated solutions and absence of a lateral diversity-preserving operator among the currently-best non-dominated solutions. These two drawbacks have been overcome by introducing dynamic crowding distance (DCD) and controlled elitism (CE) into the NSGA-II. The developed algorithm MNSGA-II has been applied to a standard IEEE 14-, 30-, 57- and 118-bus systems to check its applicability. The results authenticate the potential and effectiveness of MNSGA-II algorithm for CEED problem. Moreover in order to certify the results arrived, four different performance metrics gamma, delta, minimum spacing and Inverted Generational Distance (IGD) were used. These metrics will be supportive for evaluating the closeness to the reference pareto-optimal front. An approach based on Technique for Ordering Preferences by Similarity to Ideal Solution (TOPSIS) is used to decide the choice of a solution from all pareto-optimal solutions, as the best compromise solution.