Carbon-Neutral Oriented Synergistic Scheduling of Source-Grid-Load-Storage Systems
Peipei Yang, Zhidong Chen, Wenwu Zhang, Jinsong Zhang, Jinlong Yang · 2025
In the context of China's “double carbon“ goal, the power industry must integrate carbon emission reduction constraints into system operations. This shift requires a new low-carbon operation and management model beyond traditional safety, reliability, and economic considerations. To address the challenges of accurate carbon measurement and coordinated optimization across the source-grid-load-storage chain, this study innovates in three aspects. First, a dynamic carbon responsibility allocation mechanism is proposed, constructing a node-level carbon metering model based on carbon emission flow theory to achieve real-time, precise quantification of carbon responsibilities across all system segments. Second, the demand response paradigm is transformed by replacing electricity price signals with real-time carbon signals, guiding loads to align consumption with high renewable-energy periods. Finally, a carbon-energy co-optimization model incorporating carbon trading mechanisms enables Pareto optimization for both carbon reduction and economic efficiency in the source-grid-load-storage system, breaking away from single-objective cost - minimization approaches.Results show that the proposed low-carbon demand response-based coordinated optimal scheduling method effectively unlocks the emission reduction potential of each system link, reduces carbon emissions, and enhances new energy consumption rates.