ゲーム理論に基づくエネルギー消費スケジューリングによる電力需要の平滑化

抄録

In response to global warming and the depletion of petroleum resources, carbon neutrality policies have led to increased integration of renewable energy sources. However, the variable nature of renewable energy, particularly solar power, presents challenges for stable energy supply. This study aims to smooth electricity demand through a game theory-based scheduling method for energy consumption, specifically addressing inefficiencies caused by fluctuating power demand throughout the day. By integrating electric vehicles (EVs) as dynamic batteries, this approach seeks to optimize energy usage and reduce peak demand periods. A MATLAB simulation targeting households and workplaces demonstrates that such a scheduling system can lower user electricity costs while evening out the demand. The study employs a model where users shift the usage times of their appliances based on cost functions, ensuring electricity consumption is balanced. The results indicate a reduction in the peak-to-average ratio (PAR) and overall electricity costs, illustrating the potential of this method in achieving efficient energy management and demand smoothing without the direct integration of EVs into the power grid.