Optimal Scheduling Of Wind Power-Photovoltaic-Photovoltaic Combined Power Generation On The Second Floor Considering The Complementary Characteristics Of Output

In recent years,with the large-scale grid-connection of wind power and photovoltaic power generation,the randomness and volatility of its randomness and volatility have affected the safe operation of the power grid,making the power grid dispatching also face many problems.The concentrating solar power(CSP),as a solar power technology with good controllability and dispatchability,can complement wind power and photovoltaic output to improve the safety and economy of grid-connected systems.This thesis analyzes the output complementarity between different wind farms,photovoltaic power stations and CSP stations in Northwest China,and establishes wind power-photovoltaic-photothermal combined power generation with the best complementarity of wind farms,photovoltaic power stations and CSP stations as a combination two-tier optimization model,and researches on the influence of complementarity between different power stations and wind farms on dispatching.Finally,the model is simulated and verified in the IEEE 30-node system using actual data as an example.First of all,this thesis introduces the basic principles and structure of wind power,photovoltaic power generation and solar thermal power generation.It analyzes the output characteristics of wind farms,photovoltaic panel power generation models,the classification and characteristics of solar thermal power stations,and towers with heat storage.The energy conversion characteristics of CSP stations give the concept of multi-energy complementary and the multi-energy complementary combined structure used in this article.Secondly,the typical day selection method based on PLSA is used to select the typical sunrise power data of different wind farms,photovoltaic power stations and CSP stations in the northwest region,and the complementary characteristics of their output on the daily time scale are studied,and the Spearman rank correlation coefficient is taken as the indicators evaluate complementarity,and finally selects wind farms,photovoltaic power stations and CSP stations with the best complementarity.The study found that: on the daily time scale,wind farms and photovoltaic power stations,wind farms and solar thermal power stations have good output complementarity,and the output complementarity between different power stations is different,while there is no obvious hybrid between photovoltaic power stations and solar thermal power stations.Finally,based on the combination mode of wind farms,photovoltaic power stations and CSP stations with the best complementarity,a two-tier optimal dispatch model of wind power-photovoltaic-thermal power generation was established,and the output complementarity between different power stations and electric fields was studied.The impact of scheduling is analyzed.The upper-level optimization model is a dual-objective model.The first objective is to maximize the economic benefits of grid connection,and the second objective is to minimize the output power fluctuation.The improved NSGA-Ⅱ algorithm is used to solve the model,and the amount of abandoned wind and light is calculated as the input of the lower layer The lower-level optimization model mainly uses the participation of discrete loads to reduce the amount of abandonment of wind and light caused by the upper-level optimization model,and the BSO algorithm is used to solve the model.Finally,the actual data of200 MW wind farms,100 MW photovoltaic power stations and 100 MW tower molten salt solar thermal power stations in Northwest China are used to verify the feasibility and effectiveness of the method in the IEEE30 node system.The simulation results show that the participation of CSP stations can not only improve the grid-connected benefits of the combined power generation system,but also reduce the output power fluctuations of the grid-connected system.The more complementary the power station and the power farms is,the better the grid-connected system is and the economy and volatility are more favorable;Compared with the single-tier optimization model,the two-tier optimization scheduling model that can participate in discrete loads can further reduce wind and solar abandonment.When solving the two-level optimization model,the algorithm used in this article is better than the traditional algorithm.