As an important indicator parameter of fluid identification,fluid factor has always been a concern for scholars.However,when predicting Russell fluid factor or effective pore-fluid bulk modulus,it is necessary to intr...As an important indicator parameter of fluid identification,fluid factor has always been a concern for scholars.However,when predicting Russell fluid factor or effective pore-fluid bulk modulus,it is necessary to introduce a new rock skeleton parameter which is the dry-rock VP/VS ratio squared(DVRS).In the process of fluid factor calculation or inversion,the existing methods take this parameter as a static constant,which has been estimated in advance,and then apply it to the fluid factor calculation and inversion.The fluid identification analysis based on a portion of the Marmousi 2 model and numerical forward modeling test show that,taking the DVRS as a static constant will limit the identification ability of fluid factor and reduce the inversion accuracy.To solve the above problems,we proposed a new method to regard the DVRS as a dynamic variable varying with depth and lithology for the first time,then apply it to fluid factor calculation and inversion.Firstly,the exact Zoeppritz equations are rewritten into a new form containing the fluid factor and DVRS of upper and lower layers.Next,the new equations are applied to the four parameters simultaneous inversion based on the generalized nonlinear inversion(GNI)method.The testing results on a portion of the Marmousi 2 model and field data show that dynamic DVRS can significantly improve the fluid factor identification ability,effectively suppress illusion.Both synthetic and filed data tests also demonstrate that the GNI method based on Bayesian deterministic inversion(BDI)theory can successfully solve the above four parameter simultaneous inversion problem,and taking the dynamic DVRS as a target inversion parameter can effectively improve the inversion accuracy of fluid factor.All these results completely verified the feasibility and effectiveness of the proposed method.展开更多
为提高直驱风电机组低电压穿越能力和改善故障穿越后风电机组的稳定运行能力,提出了一种基于变阻值和变功率因数无功控制的直驱风电机组低电压穿越综合控制策略(the comprehensive control strategy,CCS)。在直流侧采用IGBT与变阻值卸...为提高直驱风电机组低电压穿越能力和改善故障穿越后风电机组的稳定运行能力,提出了一种基于变阻值和变功率因数无功控制的直驱风电机组低电压穿越综合控制策略(the comprehensive control strategy,CCS)。在直流侧采用IGBT与变阻值卸荷电阻串联构成变阻值卸荷电路,且在长时故障时引入磁控型动态无功补偿装置进行无功补偿,根据实际电压值与预设电压阈值的比较结果动态投切卸荷电路。在网侧根据电压跌落程度所处的阶梯范围,动态调整直驱风电机组发出的无功功率。在PSCAD/EMTDC中搭建了直驱风电场的仿真模型,应用某实际运行的1.5 MW直驱风机参数,在卸荷电阻值、无功功率因数分别不同时仿真验证了该控制策略的有效性。结果表明:该控制策略不仅能够提升机组的LVRT能力,而且可以改善故障穿越结束后机组的稳定运行特性。展开更多
为了解决光伏发电系统非线性特点及一般模糊控制存在稳态误差的问题,将变论域模糊控制应用到光伏发电系统的MPPT(Maximum Power Point Tracking)中,介绍了变论域模糊控制伸缩因子的选取及控制器的设计,运用MATLAB/Simulink建立基于BOOS...为了解决光伏发电系统非线性特点及一般模糊控制存在稳态误差的问题,将变论域模糊控制应用到光伏发电系统的MPPT(Maximum Power Point Tracking)中,介绍了变论域模糊控制伸缩因子的选取及控制器的设计,运用MATLAB/Simulink建立基于BOOST转换电路的MPPT系统仿真模型。通过调节Boost电路开关管的占空比使光伏电池工作在最大功率点,并对该方法进行了仿真验证。仿真结果表明,变论域模糊控制能够改善光伏发电系统MPPT的稳定性,减小稳态误差与波动,提高太阳能的利用率。展开更多
基金the National Natural Science Foundation of China(41904116,41874156,42074167 and 42204135)the Natural Science Foundation of Hunan Province(2020JJ5168)the China Postdoctoral Science Foundation(2021M703629)for their funding of this research.
文摘As an important indicator parameter of fluid identification,fluid factor has always been a concern for scholars.However,when predicting Russell fluid factor or effective pore-fluid bulk modulus,it is necessary to introduce a new rock skeleton parameter which is the dry-rock VP/VS ratio squared(DVRS).In the process of fluid factor calculation or inversion,the existing methods take this parameter as a static constant,which has been estimated in advance,and then apply it to the fluid factor calculation and inversion.The fluid identification analysis based on a portion of the Marmousi 2 model and numerical forward modeling test show that,taking the DVRS as a static constant will limit the identification ability of fluid factor and reduce the inversion accuracy.To solve the above problems,we proposed a new method to regard the DVRS as a dynamic variable varying with depth and lithology for the first time,then apply it to fluid factor calculation and inversion.Firstly,the exact Zoeppritz equations are rewritten into a new form containing the fluid factor and DVRS of upper and lower layers.Next,the new equations are applied to the four parameters simultaneous inversion based on the generalized nonlinear inversion(GNI)method.The testing results on a portion of the Marmousi 2 model and field data show that dynamic DVRS can significantly improve the fluid factor identification ability,effectively suppress illusion.Both synthetic and filed data tests also demonstrate that the GNI method based on Bayesian deterministic inversion(BDI)theory can successfully solve the above four parameter simultaneous inversion problem,and taking the dynamic DVRS as a target inversion parameter can effectively improve the inversion accuracy of fluid factor.All these results completely verified the feasibility and effectiveness of the proposed method.
文摘为提高直驱风电机组低电压穿越能力和改善故障穿越后风电机组的稳定运行能力,提出了一种基于变阻值和变功率因数无功控制的直驱风电机组低电压穿越综合控制策略(the comprehensive control strategy,CCS)。在直流侧采用IGBT与变阻值卸荷电阻串联构成变阻值卸荷电路,且在长时故障时引入磁控型动态无功补偿装置进行无功补偿,根据实际电压值与预设电压阈值的比较结果动态投切卸荷电路。在网侧根据电压跌落程度所处的阶梯范围,动态调整直驱风电机组发出的无功功率。在PSCAD/EMTDC中搭建了直驱风电场的仿真模型,应用某实际运行的1.5 MW直驱风机参数,在卸荷电阻值、无功功率因数分别不同时仿真验证了该控制策略的有效性。结果表明:该控制策略不仅能够提升机组的LVRT能力,而且可以改善故障穿越结束后机组的稳定运行特性。
文摘为了解决光伏发电系统非线性特点及一般模糊控制存在稳态误差的问题,将变论域模糊控制应用到光伏发电系统的MPPT(Maximum Power Point Tracking)中,介绍了变论域模糊控制伸缩因子的选取及控制器的设计,运用MATLAB/Simulink建立基于BOOST转换电路的MPPT系统仿真模型。通过调节Boost电路开关管的占空比使光伏电池工作在最大功率点,并对该方法进行了仿真验证。仿真结果表明,变论域模糊控制能够改善光伏发电系统MPPT的稳定性,减小稳态误差与波动,提高太阳能的利用率。
