Optimization scheduling method for multi-energy complementary based on green certificate-carbon trading mechanism and comprehensive demand response
Jun Zhang, Tianren Zhang, Feng Pan, Yuyao Yang, Lei Feng, Yuping Huang
Abstract
To achieve the goal of carbon neutrality,effectively managing load fluctuations while controlling total carbon emissions presents a significant challenge for the new power system. This study addresses issues such as carbon reduction and efficiency enhancement, improving the integration of clean energy, and reducing energy costs for enterprise clusters integrated energy systems. We innovatively combine Dynamic Green Certificate Trading (GCT), Carbon Emission Trading (CET) mechanisms, and Integrated Demand Response (IDR) to propose a multi-energy complementarity optimization scheduling method that considers the GCT-CET mechanisms and IDR. First, we establish an optimization model for an integrated energy system that accounts for the coupling of electricity, gas, heat, and cold, with the goal of minimizing system operational costs, carbon emissions, and green certificate trading costs. Based on optimizing the energy supply side's outputs, we utilize energy conversion devices to enhance multi-energy complementary capabilities. On the demand side, we develop an integrated demand response model to smooth load curves. By introducing demand-side integrated energy response and the carbon emission trading (CET) mechanism, we aim to achieve carbon reduction and peak shaving, resulting in a significant carbon reduction effect of 21.6 %, with peak-to-valley differences in electricity, heat, and cold loads reduced by 23.47 %, 23.47 %, and 20.99 %, respectively. Additionally, we incorporate a dynamic green certificate trading mechanism to explore its impact on carbon emissions and the integrated energy supply structure. The results demonstrate that the optimization model for enterprise clusters' integrated energy systems, which considers the GCT-CET mechanisms and IDR, effectively enhances the economic efficiency of the system, providing important insights for the sustainable development and environmental protection of future energy systems.