Research On Optimal Configuration Of Hybrid Energy Storage Microgrid Based On Battery And Pumped Storage

As the problems of the global environment become more and more obvious,the traditional energy supply mode is constantly transforming,the proportion of traditional thermal power-based power generation continues to decline,and a large number of wind and solar and other renewable energy units are connected to the power grid.It poses a huge challenge to the stable operation of the power grid.Energy storage technology plays an important role in improving the consumption ratio of wind and new energy and stabilizing and safe power supply.Aiming at the problem of power system planning with energy storage,this paper develops a grid-connected and off-grid microgrid with hybrid energy storage.Configuration research mainly includes the following tasks:First of all,the models of wind power generation and photovoltaic power generation are established.By studying the working efficiency of pumped storage in different modes,the working efficiency model of pumped storage in pump and turbine modes is established to improve the energy efficiency of pumped storage in charging and discharging.And according to the electricity consumption habits of each region,a demand-side response model suitable for users in various regions is established to improve the enthusiasm of users to respond to load power adjustment.Secondly,on the basis of the model built in the second chapter,aiming at the difficulty of power supply in coastal areas with abundant solar energy resources,a multi-objective optimal configuration model of hybrid energy storage grid-connected microgrid based on battery and pumped storage is proposed.Introduce the two minimum working power variables α and β of pumped storage energy,and formulate the energy management strategy for the operation of the microgrid; take the annual economic cost and annual carbon emissions as the objective function,and use the ε constraint method The particle swarm optimization algorithm solves the multi-objective optimization problem,and finally analyzes the influence of the power purchase rate,the minimum power supply reliability rate,the variables α and β on the performance of the microgrid system,and the proposed calculation method on the model solution results impact on accuracy.The results of the calculation example show that the introduction of variables can effectively improve the energy utilization rate of the microgrid;the proposed model solution method can efficiently solve multi-objective optimization problems.Finally,for the power supply problem in island areas with sufficient wind resources,a two-layer optimal configuration model of hybrid energy storage multi-region off-grid microgrid considering battery life is proposed.By establishing a battery life model,the discharge loss is quantified as an economic cost; the original problem is transformed into a mixed integer linear programming problem by using the piecewise linearization method; the annual investment cost and daily operating cost are used as the outer layer and inner layer of the two-layer optimization model respectively The objective function of the outer layer and the outer layer are solved by the improved honey badger algorithm and the Gurobi solver respectively,and the improved Shapley value method based on demand degree is used to share the system economic cost obtained from the solution; finally,the load complementation of each area The relationship between degree and cost saving is analyzed,and the sensitivity analysis of the price of the main equipment is carried out,as well as the analysis of the performance of the algorithm.The results of the calculation example show that the proposed battery life model can effectively reduce the economic cost of the microgrid; the Shapley value method based on the demand degree is more fair and reasonable in apportioning the economic cost; The degree of load complementarity in the region is directly proportional to the cost savings of co-constructing microgrids.