Abstract: Sufficient flexible ramping capability is the critical factor for the power system to respond to a high proportion of renewable energy generation. The introduction of flexible ramping products (FRP) for market clearing can improve the system flexibility, but it also brings about problems such as unreasonable unit compensation and uneconomical demand determination. Therefore, a trading framework covering the determination of flexible resource requirements, the formation of virtual bidding curves and the clearing model of the markets has been constructed. Based on the probability distribution model and the costs of wind curtailment and load shedding, a dynamic optimization method for the determination of flexible resources is first proposed. Then considering that the unit's reserved capacity will generate opportunity cost and reduce system efficiency, virtual bidding covering virtual price and virtual capacity is then constructed to achieve the purpose of reasonable compensation of the opportunity cost and scientific pricing. A two-stage real-time market clearance model coupling flexible resource transactions is further established, and simulations are conducted through multiple stochastic wind power samples. The results show that the model can effectively promote the consumption of renewable energy, reduce the overall costs, and reasonably compensate the opportunity cost.