Study on SMES for Improving the Stability of Power System Connected With Wind Farms
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摘 要
采用超导储能(SMES)可以改善风电场并网运行的稳定性, 针对风电系统中出现的联络线短路故障和风电场的风速扰动, 提出利用超导储能安装点的电压偏差信号作为超导储能有功控制器的控制策略。为了验证这种策略的有效性, 建立了风电机组和超导储能装置的数学模型, 并利用MATLAB/Simulink软件搭建了风电场接入电网后的仿真模型。仿真结果表明, 采用该控制策略不仅可以在网络故障后有效地提高风电场的稳定性, 而且能够在快速的风速扰动下平滑风电场的功率输出,降低风电场对电网的冲击。
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Abstract
The mathematic models for wind power generator and superconducting magnetic energy storage (SMES) unit are set up, and the function of SMES in improving the operation performance of wind farms is then studied. According to the short circuit fault in the grid and wind disturbance of the wind farms often occurred, a new strategy using the voltage deviation of the SMES connection point as control signal of the active power controller of SMES unit is presented. A simulation model of the power system connected with wind farm was established using the Matlab/Simulink.The simulation results show that with the designed controller, SMES can not only improve the transient stability of wind power system after short circuit of the grid, but also effectively smooth the output of wind farm and reduce the impulsion to power system during the fast wind disturbance.
中图分类号 TM712
所属栏目 新能源技术
基金项目
收稿日期 2011/12/2
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备注王凯(1985-), 女, 助理工程师, 本科, 从事风电工程设计工作。
引用该论文: Wang Kai,Yan Guangxin. Study on SMES for Improving the Stability of Power System Connected With Wind Farms[J]. Power & Energy, 2012, 33(1): 55~59
王凯,闫广新. 超导储能对并网型风电场运行性能影响的仿真分析[J]. 电力与能源, 2012, 33(1): 55~59
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参考文献
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【3】李先允, 陈小虎, 唐国庆.大型风力发电场等值建模研究综述[J].华北电力大学学报,2006, 33(1): 42-46.
【4】郑 丽,马维新,李立春.超导储能装置提高电力系统暂态稳定性的研究[J].清华大学学报, 2001, 41(3): 73-76.
【5】Tripathy S C. Dynamic simulation of hybrid wind diesel power generation system with superconducting magnetic energy storage [J].Energy Conversion and Management, 1997, 38(9): 919-930.
【6】吴俊玲,吴 畏,周双喜.超导储能改善并网风电场稳定性的研究[J].电工电能新技术, 2004, 7(3): 59-63.
【7】Heier S. Grid Integration of Wind Conversion System[M].NewYork: John Wiley&Sons, 1998.
【8】Vladislav Akhmatov. Voltage Stability of Large Power Networks with a Large Amount of Wind Power[J].Wind engineering,2005,29(5): 421-430.
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