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.