Energy storage device degradation and smart home optimal management

This article investigates the efficient scheduling of smart home appliances to reduce energy costs and peak-to-average ratios while maintaining homeowner comfort. It addresses the variability in non-essential load operating times based on day-ahead electricity prices in a smart home. The study introduces the concept of energy discharge cost (EDC) to account for energy storage system degradation costs. It presents two scenarios: the first optimally schedules loads, renewable sources, and energy storage without considering EDC, while the second scenario includes EDC in the scheduling process. The research utilises the GAMS environment and the CONOPT solver for modelling and simulation. Results show that scheduling with EDC consideration leads to a significant 20% reduction in overall energy costs and an improved calendar life for energy storage devices. This work fills a gap in optimal energy management literature and demonstrates the benefits of EDC-aware scheduling in smart homes.