Multi-time scales low-carbon economic dispatch of integrated energy system considering hydrogen and electricity complementary energy storage

• Published in: Journal of energy storage 2024-12, Vol.104, p.114514, Article 114514
• Main Authors: Yan, Ning, Zhao, Zhenjie, Li, Xiangjun, Yang, Jinlong
• Format: Article
• Language: English
• Subjects: High-power load demand; Hydrogen-electricity complementary energy storage; Integrated energy system; Low-carbon economic scheduling; Multiple-time scales
• ISSN: 2352-152X
• DOI: 10.1016/j.est.2024.114514

To address the issue of retired battery storage systems being unable to meet the high-power load demands of integrated energy systems (IES) across multiple time scales, we propose the integration of a hydrogen-electricity complementary energy storage system (HECESS) into the IES for low-carbon economic scheduling. First, a reconfiguration energy storage (RES) model was developed and coupled with a hydrogen energy storage system (HESS) power generation model to form the HECESS charging and discharging power framework. Next, an IES carbon emissions model was established to track the full-cycle carbon flow of the RES using an energy consumption-carbon emissions conversion methodology. The Improved Weighted Moving Average Method (IWMAM) is employed to convert the full life-cycle carbon emissions of the energy storage system into carbon emissions per kilowatt-hour (kWh) of electricity produced by the HECESS. Finally, the characteristics of the energy supply and load demand were analyzed, considering the variability of the energy supply network. A day-ahead-intraday multi-timescale hierarchical rolling optimal dispatch model was developed and solved using the model predictive control (MPC) method. A case study demonstrates that the proposed HECESS effectively satisfies the high-power load demands of the IES while reducing both the energy storage costs and carbon emissions. •Tracking the full-cycle carbon flow distribution of the reconfiguration energy storage in lES to reduce the carbon emission.•Proposing a hydrogen-electricity complementary energy storage system to meet the high-power load demand of the system.•Multi-time scale optimal scheduling IES with comprehensive consideration of economy and low carbon.•Proposing a conversion method to calculate carbon emissions of each entity.