Abstract: To address the challenges posed by the uncertainty of clean energy generation to electricity market transactions, this paper investigates the coordinated optimization problem among wind power operators, photovoltaic operators, and energy storage operators in the current market. First, a transaction mechanism framework is established for the independent and coordinated market participation of these three parties. Second, Latin hypercube sampling and simultaneous back-substitution reduction methods are applied to address wind and solar output uncertainty, alongside establishing an energy storage system model. Subsequently, current transaction optimization models are developed under both risk-neutral and risk-non-neutral scenarios based on conditional value-at-risk theory. Finally, simulation analysis is conducted using the CPLEX solver, applying a case study from a region in northern. Results indicate that energy storage participation effectively reduces clean energy curtailment and lowers penalty costs; the tripartite coordination model further enhances overall benefits compared to independent participation; and risk confidence levels require reasonable setting, as excessively high levels lead to reduced benefits. This study provides decision-making references for high-penetration renewable energy participation in electricity markets.