Master-Slave Game Research On Total Clean Energy Regional Power Grid Considering New Energy Uncertainty

With the emergence of clean energy grid operation mode and regional power supply structure,how to use optimal dispatching strategy to achieve the goal of balancing the interests of power plants and power grids is the key problem to be solved urgently.At the same time,because of the intermittent and volatility of the new energy output,it is difficult to dispatch the regional power grid including wind power,photovoltaic and other new energy sources.Therefore,on the basis of fully considering the openness of the current power market,the income situation of all parties in the power grid and the influence of uncertainty of new energy,it is necessary to construct a dispatching model suitable for the current power grid and design corresponding solutions.Based on the above-mentioned power grid dispatching problems,first of all,this paper uses the master-slave game theory of game theory to construct a fully clean energy grid dispatching model,which takes power grid as the main body of the game,wind farm,photovoltaic power plant and gas power plant as the game subordinate body,and takes the smallest operation cost of power grid and the maximum revenue of each power plant as the optimization objective,and the above grid price is calculated.The output curve of each power plant is used as the decision space of the game model.This model has good applicability to the increasingly open electricity market and the consumption of new energy at the present stage.Secondly,the volatility of wind energy output is characterized by robust optimization method and longitudinal time probability analysis method respectively,and it is integrated with the master-slave game model.Finally,on the basis of the established model and the definition of,"Nash Equilibrium",an optimization algorithm based on parallel "Nash Equilibrium+PSO" is proposed,and the solution of the model is realizedThe results show that Nash equilibrium solution exists in the master-slave game power grid-dispatching model proposed in this paper,and on the basis of maintaining the high utilization of wind power and photovoltaic,it can adapt to the daily dispatching of clean energy grid in different seasons and typical load scenarios.Comparing the results of the optimal dispatching model constructed in this paper with those of the classical mean dispatching method without considering the uncertainty of wind power,the dispatching environment is deteriorated due to considering the fluctuation of wind power output,which makes the equilibrium and stability degree of benefit distribution slightly lower than that of the classical mean dispatching method.Meanwhile,the master-slave game model based on longitudinal time probability and the robust optimal dispatching model are proposed.The results show that although the balance and stability of interest distribution of the two methods in summer and winter are maintained at a high level,the former is still higher than the latter to a certain extent.