Massive access of renewable energy has prompted demand-side distributed resources to participate in regulation and improve flexibility of power systems. With large-scale access of massive

decentralized

and diverse distributed resources

demand-side market members have transformed from traditional “consumers” to “prosumers”. To explore the distributed transaction model of prosumers

in this paper

a multi-prosumer distributed transaction model is proposed

and the Conditional Value-at-Risk (CVaR) theory is applied to quantify potential risks caused by the stochastic characteristics inherited from renewable energy. First

a prosumer model under constraints of the distribution network including photovoltaic units

fuel cells

energy storage system

central air conditioning and flexible loads is established

and a multi-prosumer distributed transaction strategy is proposed to achieve power sharing among multiple prosumers. Second

a prosumer transaction model based on CVaR is constructed to measure risks inherited from the uncertainty of PV output within the prosumer and ensure safety of system operation in extreme PV output scenarios. Then

the alternating direction multiplier method (ADMM) is utilized to solve the constructed model efficiently. Finally

distributed transaction costs of prosumers are distributed fairly based on the generalized Nash equilibrium to maximize social benefits. Simulation results show the multi-prosumer distributed transaction mechanism established under the proposed generalized Nash equilibrium method can encourage power sharing among prosumers

increasing their own income and social benefits. Also

the CVaR can assist decision making of prosumers in weighting the risks and benefits

improving system resilience through energy management of prosumers.