@article{CAI2026, 
author = {Qianhui CAI and Wei WANG and Zhenya JI and Xue HAN and Haiya QIAN},
title = {Optimal scheduling of campus-level virtual power plant considering carbon capture under supply-demand interactive carbon trading},
year = {2026},
journal = {Electric Power Engineering Technology},
volume = {45},
number = {10},
pages = {117-127},
keywords = {virtual power plant (VPP), demand response, supply-demand interactive carbon trading, power-to-gas, carbon capture and storage (CCS), low-carbon economic optimization},
url = {https://www.sciopen.com/article/10.12158/j.2096-3203.2026.10.012},
doi = {10.12158/j.2096-3203.2026.10.012},
abstract = {To promote the optimal resource allocation and low-carbon transition of virtual power plant (VPP), this paper adopts a supply-demand interactive carbon trading mechanism. Taking the maximum comprehensive benefit of park-level VPP and the minimum energy consumption cost of users as dual optimization objectives, a day-ahead and intraday combined optimal scheduling model for low-carbon economic operation is proposed, which takes power-to-gas (P2G) and carbon capture and storage (CCS) technologies into account. To improve economic efficiency and operational flexibility, time-of-use energy prices are adopted, and an integrated electric-thermal demand response mechanism is established. Meanwhile, supply-demand interactive carbon trading and CCS are incorporated into VPP operation to enhance low-carbon performance. Based on source-load uncertainty forecasting and energy flow regulation, typical VPP operation modes are constructed for verification and analysis. Case results show that the comprehensive benefits of the park-level VPP optimized by the proposed model are increased by 15.67%, 22.25%, 20.17% and 7.41% respectively compared with the control groups. The proposed model can effectively reduce the peak-valley load difference, system carbon emissions, scheduling errors and users' energy costs, and maximize the comprehensive benefits of the park VPP. Furthermore, it significantly improves the economic efficiency, low-carbon performance and operational flexibility of VPP operation.}
}