Abstract
The scheduling of the energy generation is one of the main problems in the energy companies. The investigates to feed the demand are developing with new approaches such as demand side participation and onsite generation via storage systems. This paper proposed the optimal coordination framework of an energy scheduling in the storage-based residential energy hub (EH) system. This framework is performed as two-stage multi-criteria optimization approach using demand side participation. In the first stage, minimizing demand side's bill is formulated using electrical demand load curtailment (ELDC) strategy, whereby energy demand is decreased. The optimized energy demand in first stage optimization is implemented in second stage to solve multi-criteria problem such as minimizing the generation costs and maximizing the consumers’ satisfaction level. In addition to ELDC participation in first stage, onsite generation is provided via storage systems include electrical storage system (ESS), heat energy storage (HES) and hydrogen storage system (HSS) in second stage by demand side. Also, impact of the ELDC strategy on the storage systems lifetime in order to reducing energy consumption in the charge state of the storage systems is assessment. The proposed optimization approach is solved using shuffled frog leaping algorithm (SFLA). Since, in second stage optimization multi-criteria problem is considered. The desired optimal solution in Pareto frontier solutions is found by LINMAP and fuzzy procedures. Finally, numerical simulation is implemented in two case studies to demonstrate effectiveness of the proposed approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
