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Research On Energy Storage Capacity Allocation Considering Wind Power Tracking Plan Output And Auxiliary Thermal Power AGC Frequency Modulation

Posted on:2021-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y YuFull Text:PDF
GTID:2492306128475494Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Wind power has shortcomings such as randomness and intermittentness.At the same time,the technology for predicting wind power power is not perfect,which seriously affects the stability of the power grid.The battery energy storage system can effectively reduce the randomness and fluctuation of wind power.The increasing share of new energy generation in power system is a great test for the stability of power grid.As a traditional energy source,thermal power is still an indispensable and important part in the context of the rapid development of new energy sources.Not enough to meet current FM needs.The control technology of the energy storage system is relatively mature,which can respond quickly and accurately follow the instructions,and can improve the stability of the grid frequency.Through the analysis of existing problems,the main research contents of this article include:(1)This paper analyzes the existing types of energy storage,explains the working principles of different types of energy storage,and analyzes the choice of lithium iron phosphate battery as the auxiliary wind farm tracking plan output and the auxiliary wind farm tracking plan output while supporting the fire.Reasons for the type of energy storage of automatic power generation(Automatic Generation Control,AGC)frequency modulation in power plants.Analyze the principle of applying the rain current counting method to calculate the service life of the energy storage,and apply the rain current counting method to calculate the service life of the lithium iron phosphate energy storage battery.(2)Aiming at the problem of the wind power storage system tracking power generation plan output,an optimal allocation method that considers both the technical index tracking confidence and the economic index energy storage annual average allocation cost is proposed.A comprehensive weighting method combining AHP and entropy is used to determine the weight of the optimal target.A state of charge(SOC)control method based on the positive and negative wind power prediction deviation of the previous day is proposed,and a particle swarm optimization algorithm is used to determine the optimal configuration scheme of the energy storage system.Finally,simulation analysis is performed using actual operating data of a 100 MW wind farm,and the results show that the optimized configuration is suitable for different configuration scenarios,which improves the flexibility of energy storage configuration in the combined wind-storage system under the scenario of tracking power generation planning.(3)Compared with most current energy storage allocation methods,which only consider a single energy type,the problem of utilization efficiency of energy storage power stations is reduced.This chapter studies the consideration of wind power tracking plan output and auxiliary thermal power AGC frequency modulation energy storage capacity allocation,and proposes a control strategy that preferentially assists thermal power generating units to perform AGC frequency modulation,and then assists wind farm tracking plan output.At the same time,a storage power capacity allocation method with the goal of maximizing the net profit in the energy storage life cycle under this control strategy is proposed.The proposed model is verified by a numerical example.According to the proposed method,software development is carried out based on MATLAB,and the research is carried out from the demand analysis,function design,interface design,code implementation,operation test and other aspects of the software.
Keywords/Search Tags:energy storage, Track generation schedule, SOC control, Comprehensive weighting method, Particle swarm optimization
PDF Full Text Request
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