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考虑含全钒液流电池储能系统的广义综合负荷模型
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1.湖南大学电气与信息工程学院;2.国网河北省电力公司检修分公司

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A Generalized Synthesis Load Model Considering All Vanadium Redox Flow Battery Energy Storage System
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1.College of Electrical and Information Engineering,Hunan University;2.Hebei Electric Power Maintenance Company of State Grid

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    摘要:

    论文构建了适用于电网仿真的全钒液流电池(all vanadium redox flow battery,VRB)模型,研究了VRB储能系统的外特性。从外特性等效拟合的原理出发,忽略VRB系统的无功功率,提出了VRB储能系统的等效模型。该模型结构简单,参数少,易于辨识,能够有效拟合电网在大扰动和连续小扰动情况下的储能系统外特性,其优势在于能够模拟电池储能的出力极限情形。建立了采用所提出VRB等效模型与考虑配电网参数和无功补偿的传统负荷模型并联的广义综合负荷模型(Generalized Synthesis Load Model,GSLM),对含VRB储能系统的配电网广义综合负荷特性进行辨识建模。算例表明,与传统综合负荷模型相比,该GSLM能够更精确描述含储能系统的配电网综合负荷特性,VRB在综合负荷中比例越大,这种优势越明显,且模型参数辨识结果具有较好的稳定性和综合描述能力。

    Abstract:

    This paper constructs a model of VRB (all vanadium redox flow battery),which is suitable for grid simulation.The external characteristics of VRB energy storage system are researched.Then a equivalent model of VRB energy storage system is proposed from the principle of external characteristic equivalent fitting and ignoring the reactive power of the VRB system.This equivalent model has a simple structure, less parameters,can be identified easily.It can fit the external characteristics of VRB energy storage systems effectively in the case of large disturbance and continuous small disturbance of power system, The advantage is that it can simulate the output limit of the battery energy storage.Using the proposed equivalent model of VRB parallel the traditional load model considering the parameters of distribution network and reactive power compensation to construct the GSLM (Generalized Synthesis Load Model),the generalized synthesis load model multiplied with equivalent model is used to fitting the characteristics of power synthesis load containing the VRB energy storage systems.Examples show that compared with the traditional integrated load model,the GSLM can precisely describe the integrated load characteristics of the distribution network with energy storage system,the greater the proportion of VRB in the synthesis load,the more obvious this advantage,and the parameter identification results of the model have good stability and comprehensive description ability.

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  • 收稿日期: 2017-06-06
  • 最后修改日期: 2017-12-26
  • 录用日期: 2018-01-29
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