日射量予測情報に基づくスマートハウス用蓄電池制御に関する研究

抄録

In Japan, the restart of nuclear power generation and the introduction of renewable energy are expected to proceed in the future. Therefore, we focus on smart houses with storage batteries and aim at load leveling of the electric grid from the viewpoint of improving facility utilization rate of thermal power generation. In the previous study, we investigated the operation method of storage batteries by numerical analysis using genetic algorithm (GA) and the purpose is power load leveling on one detached house for one day. Based on the results of this survey, we proposed an operation plan for storage batteries that minimizes the day gap of electricity demand, but its effectiveness has not been clarified. Therefore, in this paper, we perform operation test of demonstration system based on operation plan of storage battery made by GA and investigate load leveling rate and the increase in facility utilization rate. In addition, the operation plan is created from using solar radiation forecast information updated every hour, and the system is operated while correcting the plan. Therefore, we investigate the reduction effect of electricity charges by the revised plan. As a result of the demonstration test on the representative days of January, April and July, the load leveling rate of each month was 61.1%, 82.3%, 54.5%. Increase in facility utilization rate in each month was 15.0%, 9.7%, 4.9%. In addition, calculating the electricity unit price after the load level, the electricity unit price can be reduced by about 4.0 yen / kWh.