基于遗传算法的医疗设施应急发电机配置与运行优化

Masaharu Tanaka, H. Eto, Yuji Mizuno, N. Matsui, F. Kurokawa
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引用次数: 10

摘要

本文讨论了遗传算法在隔离电力系统能量管理中的应用。以医院应急发电机为例,提出了一种实现应急发电机配置与运行同步优化的方法。结构和运行的同时优化需要搜索大量的组合,这通常被认为是一个难题。在该方案中,我们提出了一种通过双基因编码有效地进行结构和操作同时优化的方法。通过使用医院实际数据的案例研究,验证了所提出方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic algorithm based optimization for configuration and operation of emergency generators in medical facility
In this paper, the application of genetic algorithm (GA) to energy management of isolated power system is discussed. A method to realize the simultaneous optimization of configuration and operation with emergency generators (EGs) in a hospital is proposed as an example. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered to be a difficult problem. In the proposal, we show a method to efficiently perform the simultaneous optimization of configuration and operation by dual gene coding. The effectiveness of the proposed method is examined by a case study using actual data in a hospital.
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