Research On Optimal Dispatch Of Microgrid Economy Considering Wind And Wind Uncertainty

Today,with the continuous reduction of global fossil energy sources and the increasingly serious environmental pollution problems associated with them,distributed power generation has been rapidly developed mainly with clean energy generation methods.However,if more distributed power sources are connected,it will affect the stability,safety and reliability of the grid.Therefore,in order to better solve the unfavorable factors between distributed power sources and the grid,as a micro grid that can not only improve energy efficiency but also absorb renewable energy,more attention has been focused on the academic community.First of all,starting from improving the stability and economy of the microgrid,research is carried out on the economic optimization of the microgrid with wind and wind uncertainty.Regarding the influence of uncertain factors such as renewable energy in the microgrid,a dynamic economic dispatching model of the microgrid expressed by chance constrained programming is proposed.The probability constraints of the model and the confidence level that meets the requirements can reflect the reliability of the microgrid.And referring to the concept of situation awareness,a risk coordination constraint equation is proposed,and finally the cost caused by risk waste is introduced into the objective function to reflect its impact.In terms of solving the model,the model Carlo simulation method is used to simulate the output of uncertain factors such as wind energy and solar energy,and the improved genetic algorithm is used to solve the problem.The calculation example analyzes the reliability and economy of the microgrid by using the reliability confidence level and the allowable margin of resource waste,which proves the rationality and function of the model.Secondly,the combined heat and power(CHP)microgrid economic dispatch model composed of wind power,photovoltaic cells,storage batteries,boilers,and controllable generating units,etc.,is aimed at the uncertainties caused by the output power of photovoltaic cells and wind turbines.Impact,the economic dispatching problem of combined heat and power(CHP)microgrid based on interval planning theory is studied.According to related literature,most of the microgrid optimization scheduling models need to spend a long time in calculation when using the interval planning method to calculate.Mainly due to the influence of the number of equality constraints.Therefore,when using the interval programming method to calculate,this paper uses the dual theorem to transform the linear "negative model" that takes up more computing time into a nonlinear model.Thus,the improved chaotic particle swarm algorithm is used to solve the problem.The analysis of calculation examples verifies the proposed model and algorithm.