Two-stage Collaborative Optimization Involving Virtual Power Plant with Offshore Wind Power Participation in the Day-ahead Energy Market and Intra-day Scheduling
The development and utilization of offshore wind power is of great significance for China to realize the energy transition and dual-carbon goals,but large-scale grid connection will bring great challenges to the safe and stable operation of the power system since its high intermittency and strong volatility.The paper proposes a resource management mode and operation strategy of aggregating offshore wind power,gas-fired power plant,and energy storage equipment into a virtual power plant for coordinated regulation and control,and the whole of them participate in the day-ahead electric energy market as a market entity in order to curb the impact of large-scale offshore wind power on the power grid.It proposes that establishing a two-stage robust optimization scheduling model of a virtual power plant based on the consideration of the uncertainties of offshore wind power output and load for the transaction decision-making and operation process,solving iteratively by using the column and constraint generation algorithm,and analyzes & verifies the effectiveness of the strategies and model through the example simulation.The results show that the trading strategy of virtual power plants in the day ahead market is closely related to the setting of robust adjustment parameters in the model when taking into account the influence of uncertain factors and ensuring the consumption of offshore wind power and it is necessary to combine historical wind power data,prediction accuracy,and decision-makers'risk preferences to reasonably set robust adjustment parameters to balance the economic and robust operation of the system in order to provide ideas and references for virtual power plants containing offshore wind power to participate in electricity market transactions.
Virtual power plantOffshore windElectricity marketTwo-stage robust optimizationColumn and constraint generation algorithm
万方数据
维普
