文章基本信息

标题：Research of Dynamic Economic Emission Dispatch Based on Parallel Molecular Differential Evolution Algorithm
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作者：Lixia Zuo ; Bing Liu ; Zezhi Wen 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：170
期号：3
页码：032003
DOI：10.1088/1755-1315/170/3/032003
语种：English
出版社：IOP Publishing
摘要：Power system dynamic economic emission dispatch plays an important role in energy saving and emission reduction. The model is set up with generation cost and pollution emission minimum as the optimization objectives. The energy cost caused by the valve point effect of the conventional thermal power unit is included in the generation cost. The network loss is considered in the equality constraint, and the solution equation is used to deal with the complex constraint relation. In view of the premature diversity caused by the low diversity of differential evolution algorithm, the molecular differential evolution algorithm is adopted to solve the model. Under the premise of ensuring the accuracy of the original calculation, using the ability of Matlab multi-core parallel computing to improve the molecular differential evolution algorithm, the computational efficiency of the algorithm is improved. The simulation results of the classical 10-unit test system show that, compared with the traditional differential evolution algorithm, the parallel molecular differential evolution algorithm is improved, not only has better global search ability, but also can provide a faster and better choice for decision maker.