@article{oai:nagasaki-u.repo.nii.ac.jp:00003015,
 author = {Tanaka, Masaharu and Eto, Haruhi and Mizuno, Yuji and Matsui, Nobumasa and Fujio, Kurokawa},
 issue = {1},
 journal = {International Journal of Renewable Energy Research},
 month = {},
 note = {In this paper, a simultaneous optimization method using GA of configuration and operation of emergency generators in medical facilities with power source of renewable energy is proposed. The simultaneous optimization of configuration and operation needs search of enormous combinations, which is generally considered to be a difficult problem. Here, PV is assumed as renewable energy, but since its output depends on the weather, fluctuation of the generated power is not small. From the viewpoint of an emergency generator, this is a factor of short-term variations in load, so there is concern that the efficiency will decline. In the proposed method, genes are divided into configuration chromosomes and operation chromosomes, and the operation chromosomes are multiplexed so that they can be switched by the time zones and the loads so as to be robust for short-term variability. The effectiveness of the proposed method is examined by a case study using amount of insolation and actual data in a hospital., International Journal of Renewable Energy Research, 8(1), 2018, pp.200-207; 2018},
 pages = {200--207},
 title = {GA based optimization for configuration and operation of emergency generators in medical facility using renewable energy},
 volume = {8},
 year = {2018}
}