An Assessment Method of Carbon Emission Reduction Additionality in Grid Dispatching Model

• Published in: 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) pp. 4193 - 4198
• Main Authors: Lai, Yening, Chen, Xuetong, Huang, Jie, Jin, Shuai
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.10.2021
• Subjects: "carbon peak carbon neutral"; AC optimal power flow; Carbon dioxide; carbon emission reduction additionality; Dispatching; grid dispatch mode; multi-scenario simulation; Power grids; Power measurement; Production; System integration; Transmission line measurements
• DOI: 10.1109/EI252483.2021.9713397

Achieving the national goal of "carbon peak, carbon neutral" is a complex and challenging task. The carbon emission of the power industry accounts for nearly 40% of the total carbon emission, so the task of reducing emissions is heavy. However, carbon emission reduction in the power industry requires the joint effort of all segments of power generation, transmission, distribution, and consumption. It should be noted that the contribution of scientific assessment of carbon emission reduction in each segment is essential. This paper proposes a framework for assessing the carbon emission reduction additionality of subjects in every link of the power system. The proposed framework identifies the carbon emission reduction additionality of each link of power production, transmission, and consumption by comparing the carbon emission reduction benefits of a given measure with the intervention of the measure. In the evaluation framework, a multi-dispatching scenario evaluation method based on AC optimal power flow (AC OPF) is proposed to evaluate the carbon emission reduction benefits of the power grid under the clean-energy-consumption dispatching and network-1oss-minimization dispatching modes. The proposed method examines different transmission power scenarios of a new energy outgoing ultra-high voltage line and analyzes the carbon emission reduction additionality of the power grid. Finally, the feasibility of the proposed method is verified by simulations using a provincial power grid as a case study.