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Research On Location And Capacity Of Distributed Power Sources In Distribution Networks

Posted on:2020-11-23Degree:MasterType:Thesis
Country:ChinaCandidate:W GaoFull Text:PDF
GTID:2432330602459819Subject:Control engineering
Abstract/Summary:PDF Full Text Request
With the sustainable development of the world's energy economy,the rapid transition from traditional to friendly energy has become a top priority.Distributed power supplies are mostly in the form of local production and near absorption,which not only enhance the reliability of energy consumption,but also enhance the energy consumption capacity,opening up a new direction for the use of renewable energy.With its flexible and diverse characteristics,distributed power supplies have created conditions for multi-energy complementation and have been widely used in reactive power compensation of distribution networks.The scientific and rational introduction of distributed power in the distribution network not only improves the safety and economy of the overall operation of the system,but also improves the reliability of the distribution network.When large-scale distributed power is connected to the grid,the overall voltage quality level of the system also changes with it.Therefore,it is necessary to analyze and research the distributed power supply optimization configuration in the distribution network to improve the stability of the distribution network operation.How to scientifically select the location and volume of distributed power supplies has important theoretical and practical significance.In this paper,the distributed power supply is the research object.The optimization configuration analysis starts from the number and mode of power access,and explores different ways from single access to multiple accesses.The mathematical analysis method and sensitivity analysis method are selected as the optimal configuration method.On the basis of sensitivity location optimization,combined with game theory to make certain improvements.The experimental results show that the optimization method in the paper has important practical value for the distributed power supply optimization configuration in the distribution network.The main research contents are as follows:(1)For the distributed power supply commonly used in practical applications,the corresponding power supply structure and characteristics are briefly introduced,and the power flow calculation method of distribution network with distributed power supply is expounded.(2)Using the control variable method to analyze the position and capacity of the single power supply distribution network,and use the mathematical analysis method to derive the relationship between the variables in the distribution network.Through the single distributed power optimization configuration analysis of the Roy-Billyton model branch,the optimal access location and capacity of the single power supply in the distribution network are obtained.(3)In the multi-distributed power supply distribution network scenario,the voltage-reactive sensitivity concept is introduced for the voltage fluctuation caused by the external environment change,and the optimization of the distributed power supply location is determined by the sorting of the sensitivity values.The solution allows the power supply to be fully utilized.The minimum network loss and voltage deviation are selected as the co-optimization objective function,and the compensation capacity of each power supply is obtained by genetic algorithm,so that the power distribution system works in the most tidal state.(4)On the basis of sensitivity location,a cooperative game is introduced,which makes the location and location number more scientific and reliable.For the multi-objective optimization function,the traditional penalty function method is combined with the zero-sum game and the linear weighted coefficient method to obtain a more reasonable optimization function target,and the optimization effect is improved.
Keywords/Search Tags:Distributed power supply, renewable energy, distribution network, mathematical analytical method, sensitivity analysis, cooperative game, zero-sum game, linear weighted coefficient method, multi-objective optimization
PDF Full Text Request
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