@Article{ee.2026.089172,
AUTHOR = {Rui Zhang, Wanze Li, Ziteng Wang, Youwen Zhang, Wenxuan Wang},
TITLE = {Multi-Timescale Optimal Scheduling of Rural Integrated Energy System with Electric Heating Considering Tiered Carbon Trading and Carbon Capture},
JOURNAL = {Energy Engineering},
VOLUME = {},
YEAR = {},
NUMBER = {},
PAGES = {{pages}},
URL = {http://www.techscience.com/energy/online/detail/28395},
ISSN = {1546-0118},
ABSTRACT = {To support the transition to clean heating in northern rural areas, this study addresses the coordinated scheduling of uncertain renewable generation, electric-heating demand, and low-carbon resources. A rural integrated energy system (IES) scheduling model is developed by coupling power-to-gas (P2G) with carbon capture and storage (CCS). A tiered carbon trading mechanism internalizes emission costs, while CCS-P2G coupling enables CO<sub>2</sub> utilization and synthetic methane production. A two-stage strategy combining day-ahead robust optimization with intra-day rolling adjustment is then proposed. The day-ahead layer establishes a cost-minimizing robust baseline under a budgeted wind/Wind and photovoltaic (PV) uncertainty set. The intra-day model predictive control (MPC) layer updates wind, PV, and load forecasts every 15 min and implements only the first control action of each rolling horizon. Case-study results indicate that the proposed framework coordinates electric heating, energy conversion, storage, and carbon-management resources while supporting economical and low-carbon operation of rural energy systems.},
DOI = {10.32604/ee.2026.089172}
}