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Study On Optimal Configuration Of Hybrid AC/DC Micro-grid Based On Solar-wind Storage System

Posted on:2019-01-29Degree:MasterType:Thesis
Country:ChinaCandidate:R Y ZhangFull Text:PDF
GTID:2322330569978141Subject:Electrical theory and new technology
Abstract/Summary:PDF Full Text Request
With the continuous development of social economy,people's demand for electricity is also showing a growing trend.This phenomenon forces the scale of the power grid to expand continuously,which leads to high economic cost,low reliability and difficulty in operation.At the same time,people pay more and more attention on the distributed power generation,which includes less investment,no pollution,high flexible power generation and energy utilization.Micro-grid which is used to supplement the power grid,effectively alleviates these problems in the distributed power supply,and makes good use of the advantages of distributed power supply.Micro-grid improves the power supply reliability of the system,the effective use of the energy cascade,and the performance of the power grid.The micro-grid includes ac micro-grid,dc micro-grid and hybrid AC/DC micro-grid.To break the limitation of traditional micro-grid,and make full use of the ac and dc micro-grid grid advantages,the development of hybrid AC/DC micro-grid attracts a greater attention.At the beginning of the hybrid AC/DC micro-grid investment construction,micro power supply is very important for the selection,site selection,and constant volume.Micro power optimal configuration can not only make fully rational use of renewable energy,but also improve the reliability and economy of the system,which is the most important issue to hold the economic and reliable operation of the hybrid AC/DC micro-grid.The thesis combines with the structure characteristics of the hybrid AC/DC micro-grid and the research status at home and abroad.First of all,the thesis not only introduces wind turbines,photovoltaic cells,micro gas turbine,diesel generators,and the operation of the energy storage characteristics in detail,but also builds the corresponding model.Secondly,the thesis establishes the optimal configuration objective function and constraint conditions for hybrid AC/DC micro-grid considering the economics and reliability of micro-grid.In terms of economy,the thesis considers the important economic indicator of the hybrid AC/DC micro-grid system,namely the equivalent annual cost of the system.Regard the economic cost minimum as the objective function.The micro power installation cost,operation maintenance cost,equipment replacement cost,fuel cost and environmental conversion cost is used as part of the objective function.In terms of reliability,the loss of power supply probability and the energy excess ratio are in the form of penalty function appearing in the adaptive function.In the thesis,the optimal configuration scheme of micro power supply for the independent hybridAC/DC micro-grid based on solar-wind storage system includes wind generator,photovoltaic array and energy storage.At the same time,the thesis establishes a scheme including solar-wind storage system includes wind generator,photovoltaic array,diesel generator and energy storage by comparing the effects of the two schemes on the economics and reliability of hybrid AC/DC grids.On the model solution,because the basic particle swarm optimization algorithm is easy to premature convergence and local optimum,the thesis adopts an improved particle swarm optimization algorithm based on genetic crossover operation.Apply these two optimization algorithms respectively to the objective function.Through the MATLAB simulation software programming the optimizing content,the optimal configuration model of micro power supply for the hybrid AC/DC micro-grid is well done.And the simulation results verify the feasibility and correctness of the proposed model and the improved algorithm.
Keywords/Search Tags:Hybrid AC/DC micro-grid, Particle swarm optimization algorithm, Optimal configuration, Loss of power supply probability, Energy excess ratio
PDF Full Text Request
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