The patent introduced by Korea University Research and Business Foundation proposes a new method to optimize the scheduling of charging stations, ensuring that they operate efficiently while minimizing costs and environmental impact.
The core of this patented method lies in its advanced scheduling techniques. The approach is carried out by a computing device with a processor, enabling the implementation of sophisticated algorithms. It starts with modeling the charging demand, which involves predicting the future needs of both hydrogen and electric vehicles at the station. This model serves as the foundation for the entire scheduling process.
Once the charging demand is accurately modeled, the method employs second-order conic programming (SOCP) for repair optimization. SOCP is a mathematical optimization technique used to find the best possible solution under given constraints and objectives. In this case, it helps in scheduling the operations of the charging station by considering various factors such as cost, energy availability, and usage patterns.
An essential component of the scheduling process is defining the objective function through an equation. This equation reflects the primary goals of the charging station, such as minimizing operational costs or maximizing the use of renewable energy sources. Additionally, at least one constraint is set to ensure that the scheduling aligns with real-world limitations, such as grid capacity and availability of renewable energy.
By integrating renewable energy sources and utilizing advanced optimization techniques, this method has the potential to significantly impact the HPS market. It offers a more sustainable way to manage energy at charging stations, which can lead to reduced reliance on non-renewable energy sources and decrease the overall carbon footprint of transportation.
