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

Yugo Yamaguchi, Riku Machida, Shigehiko Kaneko, Yudai Yamasaki

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Publication statusPublished - 2014 Jan 1
Externally publishedYes
Event12th International Conference on Motion and Vibration Control, MOVIC 2014 - Sapporo, Hokkaido, Japan
Duration: 2014 Aug 32014 Aug 7

Conference

Conference12th International Conference on Motion and Vibration Control, MOVIC 2014
Country/TerritoryJapan
CitySapporo, Hokkaido
Period14/8/314/8/7

Keywords

  • Distributed generation
  • Energy saving
  • Engineering optimization
  • Genetic algorithm
  • Global warming
  • Internal combustion engine
  • Renewable energy

ASJC Scopus subject areas

  • Control and Systems Engineering

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