首页> 外文会议>Electric Power and Energy Conversion Systems, 2009. EPECS '09 >Environmental/Economic Dispatch using Genetic Algorithm and Simulated Annealing
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Environmental/Economic Dispatch using Genetic Algorithm and Simulated Annealing

机译:使用遗传算法和模拟退火的环境/经济调度

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In recent years, running of the generators at minimum cost and desired limit values has gradually increasing importance at Power systems using thermal-fueled generators. Various algorithms for solving economic dispatch problem have been found in the literature. In this study, Genetic Algorithm (GA) and Simulated Annealing (SA) solutions to Economic Cost Dispatch (ECD), Environmental Dispatch (ED), Environmental/Economic Dispatch (EED) have been found, by taking into account the environmental issue. A sample consisting of six thermal generators are presented. Transmission losses are included. Results taken with both methods have been compared to each other.
机译:近年来,在使用热燃料发电机的电力系统中,以最小的成本和所需的极限值运行发电机已变得越来越重要。在文献中已经找到了解决经济调度问题的各种算法。在这项研究中,考虑到环境问题,找到了针对经济成本分派(ECD),环境分派(ED),环境/经济分派(EED)的遗传算法(GA)和模拟退火(SA)解决方案。展示了一个由六个热发生器组成的样本。包括传输损耗。两种方法得出的结果已相互比较。

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