Health-Aware Energy Management Strategy Toward Internet of Storage
Yin Chen, Jianxiao Wang, Wenyuan Tang, Gengyin Li, Ming Zhou
Abstract
The rapid development of the Internet of Things (IoT) has given rise to a novel business model, i.e., Internet of Storage (IoS), in which distributed in-home storage systems can be shared and equivalently aggregated as a utility-scale storage. While the existing literature has focused on the scheduling of distributed storage, few studies have quantified the accelerated degradation induced by storage sharing or incorporated State of Health (SoH) into storage sharing management. Therefore, we propose a health-aware energy management strategy in the environment of IoS, enabling distributed storage systems to cooperate through information and communication technology. To evaluate the SoH of storage, we design a health-aware framework based on equivalent circuit model (ECM), in which SoH can be derived from the charging behavior of battery. Consequently, the internal resistance, capacity, efficiency, and state of power can be inferred by SoH. To demonstrate the effectiveness of the proposed strategy, three benchmarks, i.e., local health-unaware model, local health-aware model, and Health-unaware Sharing (HuS) model are designed. Case studies based on 600 residential customers in Texas, USA reveal that IoS will cause additional SoH degradation, and the life of energy storage is reduced by 3.01 years. The proposed strategy can extend the energy storage’s service life by 43.13% and has better economic benefits compared with traditional HuS.