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Research On Capacity Allocation Of Generalized Energy Storage System Based On Demand Side Response

Posted on:2020-01-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y L WangFull Text:PDF
GTID:2392330575998437Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The seasonal peak load on the user side keeps rising and the new energy on the generation side keeps increasing,which leads to power imbalance on different time scales in the distribution network and affects the original load characteristics of the power grid.Energy storage system is an effective measure to solve the source-charge mismatch problem,but because of its high cost,it is difficult to popularize energy storage system on a large scale in the short term.So,considering the air-heating capacity of the air-conditioning system,it can be equivalent to a virtual energy storage to participate in the demand side response,which can reduce the peak load of power gird and reduce the tension of traditional energy storage devices.Therefore,virtual energy storage and traditional energy storage can be integrated into a generalized energy storage system.Under the situation of large-scale distributed power generation access,it is significant for distribution network to research the control strategy and capacity allocation of generalized energy storage system.Taking the residential air-conditioning as the research object,the aggregated virtual energy storage model of air-conditioning group is constructed,which participates in planning and scheduling with traditional energy storage.The capacity allocation of generalized energy storage system based on demand side response is studied in depth.The main research contents are as follows:Firstly,based on the thermodynamic load model of air conditioning load,thermal comfort model of human body and economic incentive model,the corresponding virtual energy storage model is constructed for fixed frequency and converter air conditioning respectively,and its characteristic indexes such as rated capacity,state of virtual charge,charge and discharge power and time are defined and derived.Based on the experiment,the thermal equivalent parameters of virtual energy storage are modified,and the relationship between environmental factors and virtual energy storage evaluation indicators is quantitatively analyzed,which lays the foundation for further research.Then,the aggregated virtual energy storage model of air conditioning load group is constructed by the Monte Carlo simulation method,and the influence of economic incentive level on the potential of the aggregated virtual energy storage is quantitatively analyzed.The traditional temperature priority control strategy is improved,and an aggregated virtual energy storage control strategy based on the principle of minimum user control cost and state of virtual charge priority is proposed.The simulation of the example is carried out on the MATLAB platform with the aim of peak clipping.Finally,for the application of "shaving peaks and filling valleys" and "smoothing fluctuations",the capacity optimization model of generalized energy storage systems is constructed with the goal of optimizing annual equivalent total cost.Based on the traditional spectrum analysis,a power allocation strategy for generalized energy storage systems is designed to eliminate the redundancy of charge and discharge.Combined with the above two points,a capacity allocation method for generalized energy storage systems is proposed.The simulation results show that the aggregated virtual energy storage based on demand side response is effective in reducing the traditional storage capacity,prolonging the actual operation life of batteries and saving economic costs.
Keywords/Search Tags:Demandside Response, Virtual Energy Storage, Air Conditioning Load, Energy Storage Capacity Configuration
PDF Full Text Request
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