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

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.