Research on optimal scheduling and carbon revenue distribution strategy of "source-grid-load-storage" projects based on CCER methodology

Abstract

Based on the development background of China's greenhouse gas voluntary emission reduction trading market, we propose the methodology of Chinese certification emission reductions (CCER) for the "source-grid-load-storage" (SGLS) integration project. It covers the project baseline scenario, project scenario, and project emission reduction calculation method. The purpose was to evaluate the carbon emission reduction benefits of the project and improve the economy and environmental protection of the park. Based on the CCER methodology, the scheduling model of the SGLS integration project was established with the goal of minimizing the power consumption costs and carbon emissions in the park, considering the unit operation, load transfer, power purchase, and sale constraints. Based on the scheduling strategy of the SGLS integration project, the carbon emission reduction income distribution among multiple entities was further investigated. The simulation results show that the CCER methodology proposed in this study provides a reasonable path for calculating the carbon emission reduction of such projects, and improves the economy and environmental protection of the project through the cooperation of multiple entities. Among them, the total annual carbon emissions of the project decreased by 28,583.78 t, the annual electricity cost has been reduced by ¥973.242 million, and the annual income of CCER increased by ¥1.948 million. The main bodies on the power, load, and energy storage sides received ¥1.78100 million, ¥84,600, and ¥82,300, respectively. Relevant research provides a reference for the CCER methodology development, carbon emission reduction calculation, and carbon benefit allocation of the SGLS integration project.

Keywords: CCER methodology; Carbon revenue allocation; Reduce carbon emissions; Source-grid-load-storage (SGLS).