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ARTICLE

Multi-Timescale Optimal Scheduling of Rural Integrated Energy System with Electric Heating Considering Tiered Carbon Trading and Carbon Capture

Rui Zhang1, Wanze Li1, Ziteng Wang1, Youwen Zhang1,*, Wenxuan Wang2
1 Power Supply Service Supervision and Support Center, State Grid Inner Mongolia Eastern Electric Power Co., Ltd., Tongliao, China
2 College of Materials Science and Engineering, Northeast Forestry University, Harbin, China
* Corresponding Author: Youwen Zhang. Email: email

Energy Engineering https://doi.org/10.32604/ee.2026.089172

Received 24 July 2026; Accepted 16 September 2026; Published online 22 September 2026

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 CO2 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.

Keywords

Integrated energy system; electric heating; carbon capture; tiered carbon trading; two-stage optimal scheduling

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