School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China

With the continuous development of the electricity market and carbon market in China, virtual power plant (VPP) has become an important market participating entity. This paper proposes a two-stage robust trading strategy for a VPP in a multi-level electricity-carbon coupling market. First, the coupling characteristics of the electricity market and carbon market in China are analyzed, and the trading processes of the multi-level electricity-carbon market are proposed including the medium- and long-term electricity market, primary carbon market, electricity spot market, and secondary carbon market. Then, a two-stage trading model is established for VPP participating in the multi-level electricity-carbon coupling market. In the first stage, the trading strategy of the VPP in the medium- and long-term electricity market and the primary carbon market is optimized. In the second stage, the trading strategy of the VPP in the day-ahead electricity spot market and the secondary carbon market is optimized. Finally, a two-stage adaptive robust optimization model is established for the VPP to mitigate the impact of renewable energy output uncertainty of VPP on trading results, and a column-and-constraint generation algorithm is employed to solve the model. The results of the simulation cases demonstrate the feasibility and effectiveness of the proposed model and method.

This work is supported by National Natural Science Foundation of China (No. 52077060) and Jiangsu Provincial Natural Science Foundation of China (No. BK20210367).