1.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Beijing102206, China;2.State Grid Electric Power Research Institute (NARI Group Corporation), Nanjing211106, China

With the proposal of China’s “carbon emission peak and carbon neutrality” strategy, power generation companies not only need to participate in the electricity energy and coal market trading, but also need to participate in the carbon market trading according to the actual carbon emission level. However, due to the characteristics of different trading rules, asynchronous trading timing and multiple trading random elements among electricity-carbon-coal multi-markets, the traditional trading strategies of power generation companies facing a single market are difficult to apply, and a multi-market collaborative trading strategy that takes into account multiple randomness is urgently needed. Considering the uncertainties of multi-market price risks and carbon market verification, the paper proposes a medium- and long-term rolling trading decision model of electricity-carbon-coal for power generation companies. First, the model determines the annual contract electricity volume and coal purchase volume based on pre-forecasted prices for the upcoming year. Then, according to the latest monthly price forecast, the monthly contract electricity volume, monthly coal purchase volume, and carbon quota trading volume in the remaining months of the year are optimized on a rolling basis. Finally, the coal fired power generation companies as the research object for case analysis, are divided into two basic scenarios of carbon buyer and carbon seller for comparative study. The results show that the proposed model can provide strategic guidance for power generation companies to trade in the electricity-carbon-coal multi-market. In the scenario of power generation companies as carbon buyers and carbon sellers, the total profits of enterprises can be increased by about 7.6% and 6.4%, respectively.