Optimal Dispatching Of Wind Power-Thermal Power-Pumped Storage Power System Based On Teaching And Learning Algorithm

The environmental pollution caused by traditional thermal power generation is increasingly serious,and the fuel for thermal power generation is increasingly scarce.As a kind of renewable energy sources,wind energy is abundant and have little pollution,which can effectively alleviate the problems of energy shortage and environmental pollution.However,the intermittence and instability of renewable energy make the stability of power system affected.Therefore,in order to ensure the stability of the system,studying how to reasonably distribute the power system units after the renewable energy grid connected is necessary.In view of the uncertainty of wind power,this paper establishes a wind-thermal power generation system model and a wind-thermal-pumped storage power generation system model.With the goal of optimizing the economic benefits of the power generation system model,this paper analyzes and studies the power system after wind power is connected to the grid.First,this article introduces the basic principles and solution flow of teaching and learning algorithms.Because the teaching and learning algorithm has the shortcomings of fast convergence in the early stage,and it is easy to fall into the local minimum in the late search,so this algorithm is improved from two aspects.On the one hand,it adaptively adjusts the teaching factors in the teaching stage;on the other hand,the mutual learning process in the learning stage is increased.The purpose is to enhance the algorithm’s global search ability and speed up the algorithm’s solution speed.Use standard test functions to conduct comparative simulation experiments before and after the improvement of teaching and learning algorithms,and analyze and verify the feasibility of improving teaching and learning algorithms.Secondly,this paper establishes a wind-thermal power generation system model that takes into account the cost of abandoned wind.In view of the characteristics of wind power itself that are highly volatile and difficult to accurately predict,a balance factor-wind abandonment coefficient is introduced.The model takes the minimum total power generation cost of the wind-thermal power generation system as the dispatching goal,and gives constraints such as the power balance of the system.To reduce the complexity of the problem,use the penalty function method to deal with the constraints.The improved teaching and learning algorithm is used to solve the model to obtain the power system power generation scheme with the smallest total power generation cost of the wind-thermal power generation system.By comparing the total power generation cost of the wind power generation system in different intervals of the wind abandonment factor considering the cost of wind abandonment and not considering the cost of wind abandonment,get a reasonable interval of wind abandonment coefficient.In this interval,wind power can be accepted as much as possible while ensuring that the total power generation cost of the system is small.Finally,in view of the large amount of wind abandonment existing after the wind power is connected to the grid,an optimal dispatch model for the wind-thermal-pumped storage power system is established.Taking the minimum total power generation cost as the dispatching goal,restrictions such as reservoir capacity constraints are added to limit the active output of pumped storage power stations.The improved teaching and learning algorithm is used to optimize the output of the combined wind-thermal-pumped storage system.The remaining wind power is used to pump water,which better reduces abandoned wind volume.Finally,the output of each part of the wind-thermal-pumped storage power system is obtained when the total cost of generating electricity is at a minimum.The rationality and feasibility of the model are simulated and verified from the aspects of economic cost and wind abandonment before and after the pumped-storage power station added to the wind-thermal power generation system.