A study on introduction of gas engine to micro-grid with genetic algorithm

Yugo Yamaguchi, Riku Machida, Shigehiko Kaneko, Yudai Yamasaki

研究成果: Paper

抜粋

One of the methods to cover the change of the output by renewable energy subject is construction of micro-grid. In micro-grid the change of output of renewable energy is controlled by distributed generation. This study was performed to develop the algorithm that determines the number of gas engines and the amount of battery about several demands to use micro-grid optimally considering environmental load with genetic algorithm. In this study system that consists of photovoltaic, gas engines and battery is supposed. Evaluation functions are the emission of CO2, system efficiency and generation cost. According to this study, variables are determined with respect to influence of generation cost and the emission of CO2. However, the influence of system efficiency is small. Furthermore evaluation of population of optimal solutions is performed. In population of optimal solutions, by investment ten thousands yen in system 25-35 tons of the emission of CO2 is cut.

元の言語English
出版物ステータスPublished - 2014 1 1
外部発表Yes
イベント12th International Conference on Motion and Vibration Control, MOVIC 2014 - Sapporo, Hokkaido, Japan
継続期間: 2014 8 32014 8 7

Conference

Conference12th International Conference on Motion and Vibration Control, MOVIC 2014
Japan
Sapporo, Hokkaido
期間14/8/314/8/7

ASJC Scopus subject areas

  • Control and Systems Engineering

フィンガープリント A study on introduction of gas engine to micro-grid with genetic algorithm' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Yamaguchi, Y., Machida, R., Kaneko, S., & Yamasaki, Y. (2014). A study on introduction of gas engine to micro-grid with genetic algorithm. 論文発表場所 12th International Conference on Motion and Vibration Control, MOVIC 2014, Sapporo, Hokkaido, Japan.