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Research On Optimal Allocation Of Power System Reserve Capacity

Posted on:2016-05-01Degree:MasterType:Thesis
Country:ChinaCandidate:Z Q FuFull Text:PDF
GTID:2322330536955733Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of our economy,the power demand is increasing,the load-IL interruptible can be used as an effective virtual power resource,which can improve the system's reliability,reduce the cost and improve the reliability of the system.It also can improve the reliability of the system,and increase the network capacity of large scale wind farm.In this paper,two kinds of traditional reserve capacity methods are introduced in this paper.According to the optimal allocation of power system reserve capacity,the paper puts forward the method of risk allocation,and then introduces the coordination and optimization of the two kinds of power supply,which is based on the power market.As a supplementary resource,which can be used as a backup system,it can improve the reliability of the system.The energy-saving emission reduction as the background,the introduction of pollutant discharge coefficient of price,to spare the total cost and pollution cost minimum as the objective function,the establishment of the energy-saving emission reduction of interruptible load participating in system reserve capacity optimization allocation model,using a hierarchical genetic algorithm to solve,and through examples,it is shown that the interruptible load standby system join will reduce the system of coal consumption and pollutant discharge fees,reduce energy consumption and pollutant emissions,to achieve the optimal allocation of resources.Finally,based on the chance constrained programming,a large scale wind farm access system is established,and the optimal allocation model of power system with wind farm is built.The model is solved by stochastic simulation.The IEEE9 is used to analyze the effect of the user's response to improve the power of large scale wind power.
Keywords/Search Tags:Power system, reserve capacity, Load reduction, Energy saving and emission reduction, Hierarchical genetic algorithm, Wind power grid connection, Chance constrained programming, Stochastic simulation genetic algorithm
PDF Full Text Request
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