With the continuous development of information technology and the rise of blockchain technology, distributed balanced trading has attracted widespread attention as an innovative trading method. Flexible resources participate in distributed balanced trading, realize local power complementarity, improve efficiency, and reduce line operation pressure. In order to ensure the interests of producers and consumers, a distributed balanced trading strategy considering flexible resources is proposed. Firstly, for the relationship between photovoltaic （PV）power generation producers, photovoltaic power generation producers with energy storage systems（ES）, power consumers with flexible resources, power consumers and power balance service providers, a distributed transaction framework is proposed; Secondly, based on the model predictive control（MPC）theory, a minimum cost rolling optimization model is proposed to optimize the number of bids for flexible resources；Then according to the market demand and supply situation, put forward the bidding price strategy；Finally, the simulation results show that this strategy can improve the consumer’s income, enhance the local balance ability, and improve the transaction rate.