通过优化微电网中混合储能系统退化成本模型实现多时间尺度调度

Abstract To promote the widespread adoption of renewable energy, the study of integrated energy systems (IES) has become essential. However, the coordination of multi-energy systems and the durability constraints of batteries, particularly in hybrid energy storage systems (HESS), remain significant challenges, hindering their economic efficiency and operational reliability. In this study, a short-term energy scheduling model is proposed to address these challenges by optimizing the degradation costs of hybrid storage systems. First, a framework for an energy management system integrating hybrid storage systems is established. Then, degradation cost models for chemical batteries, electrolyzers, and proton exchange membrane fuel cells (PEMFC) are developed, based on the operational characteristics of each device. Furthermore, to address the gap in existing methods regarding the different dynamic response capabilities of storage systems, a multi-time scale optimization approach is adopted, dividing the scheduling process into fast and slow time scales. The comprehensive costs of the IES are evaluated under four distinct slow time scales. Specifically, the battery storage system (BSS) is tasked with short-term scheduling, while the hydrogen storage system (HSS) manages long-term scheduling. A key contribution of this work lies in the time-sensitivity analysis, which reveals the impact of scheduling granularity on system degradation and cost. Finally, the proposed method is validated using real-world renewable energy generation data from a specific location and compared against rule-based scheduling methods. The comprehensive cost of the IES is effectively reduced, bridging existing methodological gaps and demonstrating significant improvements in both economic performance and operational reliability.