Look-ahead risk-constrained scheduling for an energy hub integrated with renewable energy

Energy hubs or multi-energy systems facilitate an improvement in their efficiency and flexibility for different energy supplies. However, the application of energy hubs results in scheduling challenges for the entire system due to the mutual impact of various energy forms and the increase in the number of uncertain variables. One of the parameters of an energy storage system, which is an indispensable component of an energy hub, is the stateof-charge at the end of the first day of scheduling. This parameter is crucial because its final state represents the initial state-of-charge for the second day, which has an effect on the operational cost of the second day. Based on a look-ahead risk-constrained technique, this work investigates the optimal scheduling of an energy hub for two days with the aim of minimizing the total operational cost. The state-of-charges of an energy storage system at the end of the first day is optimized by considering the scheduling result on the second day. The uncertainties of the two days are demonstrated via various scenarios. Additionally, a demand response program is adopted to reduce the total operational cost and increase the system flexibility. The results validate the feasibility of using look-ahead risk-constrained scheduling in an energy hub and indicate that a reduction in the total operational cost is achieved.

Automated summary

Energy hubs or multi-energy systems improve efficiency and flexibility for different energy supplies, but also bring scheduling challenges. This study investigates optimal scheduling for a two-day energy hub using a look-ahead risk-constrained technique, showing that adopting a demand response program can reduce total operational cost and increase system flexibility.