Uncertainty Stackelberg Game Scheduling based on Scenario Probability
In order to slove insufficient consideration of randomness in wind power,photovoltaic power and load for deterministic game.An uncertain optimal scheduling study is developed using the Stackelberg game based on scenario probability.The power grid is the leader,and the wind-photovoltaic-pumped storage union is the follower,with the goal of minimizing the total cost of the power grid and maximizing the benefits of the union.Based on the scenario probability reduced by the SBR-QC algorithm,the uncertainty problem is transformed into a deterministic problem by inputting the weighted average scenario of probability scenarios into the model.The analysis was conducted from three dimensions:game types,seasons,and game states.The results show that both game scheduling methods have played the potential of flexible operation of pumped storage,achieved the expected goals of promoting clean energy consumption and reducing grid load fluctuations,and improved the operational stability of the power grid.The uncertain game scheduling is more superior than the deterministic game by taking into account various indicators,and it can be used as a reference for practical scheduling decisions.
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