No abstract

No abstract

No abstract

In this paper, we consider an optimized consumption of energy produced by distributed energy resources (e.g., wind, solar, storage, ...) to match an energy demand in industrial microgrid context. In order to match the load with the supply, we need to optimize the selection of available resources based on some constraints such as energy costs and weather conditions. When an imbalance occurs, we consider buying energy from the main grid or spot market if there is a shortage. In case of surplus energy, we consider selling the excess on the spot market. To achieve our goal, we utilize a network calculus approach (specifically the concept of service curves) to model the energy resources. In this context, service curves provide a lower bound on the amount of energy production of the resources. Then, we propose different strategies and compare their performances against each other to minimize energy procurement costs. To apply our model, we consider a real case study of an industrial site located in France.