熱工学コンファレンス講演論文集
Online ISSN : 2424-290X
セッションID: 0198
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日射量予測情報に基づいた蓄電制御システムに関する研究
*平澤 拓磨小原 伸哉長野 克則川江 修冨樫 愛采村上 友章相澤 峻
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In recent years, the number of houses that introduced photovoltaic power generation has been increasing year by year, and it is considered that the daily range gap of electricity will become bigger. Therefore, we try to reduce the daily range gap of the whole power system by controlling the storage battery of the smart house. In this paper, we will investigate the operation plan of the storage control system with the aim of reducing the daily range gap of the power system. By controlling the storage battery of the proposed system, the supply cost of the conventional power system can be reduced by 23.0 to 61.3% and the equipment cost of the oil-fired power can be reduced by 15.3 billion yen by reducing the peak supply capacity of 77 MW. In addition, CO2 emissions are reduced by 53,389 tons, and fuel costs for oil-fired power plants can be reduced by about 1.6 billion.

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