基于氢储能的主动型永磁直驱风电机组建模与并网控制

doi:10.19595/j.cnki.1000-6753.tces.160887

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摘要针对风电并网功率波动性及高渗透弃风现象,采用共直流母线主动型永磁直驱风电机组结构,建立基于氢储能的永磁直驱风电机组模型,并提出变流器与功率管理协调控制策略。永磁同步发电机与电解槽、燃料电池、蓄电池组汇集直流母线,考虑电解槽需电制氢、燃料电池需氢发电等特性,利用变流器协调控制及功率管理策略,实现风电功率波动抑制、降低风电弃风比例、风电绿色并网。通过PMCAD/EMTDC仿真平台,证明了模型及其控制策略的有效性,有利于风电高渗透并网运行。

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	孔令国
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关键词 ：氢储能, 主动型, 风电机组, 模型, 并网控制

Abstract：Regarding the volatility of wind grid-power and high permeability of abandoned wind, this paper establishes a model of permanent magnet direct-driven wind turbine based on hydrogen energy storage, where the proactive permanent magnet direct-driven wind turbine of common dc bus is adopted. A coordination control strategy is hence proposed. Permanent magnet direct-driven wind turbine, alkaline electrolyzer (AE), proton exchange membrane fuel cell (PEMFC) and battery are packed into the dc bus. Electricity is prerequisite for AE to produce hydrogen, and hydrogen is prerequisite for PEMFE to generate electricity. Taken the above two characteristics into consideration, wind power fluctuations are retained and the proportion of abandoned wind is reduced using coordinated control of converter and power management strategy. Thus, grid connection for wind power is realized. The models of active wind generator and control strategy are verified by PMCAD/EMTDC simulation platform, which is conducive to high permeable wind grid-connected.

Key words： Energy storage of hydrogen proactive wind turbine modelling grid-connected control

出版日期: 2017-10-10

PACS:

TM614

作者简介: 孔令国男,1984年生,博士,讲师,主要研究方向为新能源并网安全分析与优化控制。E-mail: klgwin@neepu.edu.cn;蔡国伟男,1968年生,博士生导师,教授,主要研究方向为电力系统安全分析与优化控制。E-mail: caigw@neepu.edu.cn（通信作者）

引用本文:

孔令国, 蔡国伟, 陈冲, 邢亮. 基于氢储能的主动型永磁直驱风电机组建模与并网控制[J]. 电工技术学报, 2017, 32(18): 276-285. Kong Lingguo, Cai Guowei, Chen Chong, Xing Liang. Modeling and Grid-Connected Control of Proactive Permanent Magnet Direct-Driven Wind Turbine Based on Energy Storage of Hydrogen. Transactions of China Electrotechnical Society, 2017, 32(18): 276-285.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.160887 https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I18/276

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