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并网永磁直驱风电机组故障穿越能力仿真研究 总被引:3,自引:0,他引:3
随着电力电子器件成本下降,拥有全功率变换器的永磁直驱风机成为各国关注热点。风电场容量不断增大,要求风电机组具有故障穿越能力。本文以直驱同步风电发电机组为研究对象,利用matlab/simulink搭建了直驱同步风电机组的动态数学模型,对直驱同步风电机组故障穿越能力进行仿真研究,试验结果表明:在风电场接入点发生故障时,直驱同步风电机组具有故障穿越功能。尤其在电网发生电压跌落时,直驱风机能为系统提供一定的无功支撑。有效防止系统电压过多降落。提高了系统故障运行的稳定性。 相似文献
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集直驱永磁型和高速双馈型风电机组技术优势于一身,混合型风电机组近期受到更多关注。本文在描述该技术路线的同时,向读者简要介绍了混合型风电机组的技术特点及市场情况。 相似文献
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近年来建设的100MW风电场中,1.5MW以上的直驱风电机组与双馈风电机组是两大主力机型,其在风电场中的配置对并网后电网安全稳定运行有重要影响。本文根据直驱风电机组与双馈风电机组的各自特点以及不同的故障率,提出一种配置方案。 相似文献
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为深入研究直驱风电机组与无功补偿装置交互作用引发的次/超同步振荡问题,首先,利用谐波线性化方法建立直驱风电机组与SVG交互作用的正序阻抗模型,并在此模型的基础上,给出了基于阻抗的稳定性判据;然后,通过波特图分析了SVG控制参数对直驱风电机组阻抗特性的影响,揭示锁相环和电流环控制参数对直驱风电机组与SVG交互作用的次/超同步振荡特性的作用规律;最后,基于Matlab/Simulink仿真平台搭建了直驱风电机组并网系统进行时域仿真,并与频域分析加以比较,验证了阻抗特性分析的合理性。 相似文献
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在分析永磁直驱风力发电系统拓扑结构的基础上,针对永磁直驱风电系统故障穿越时遇到的问题,从增加硬件电路和改进控制策略两方面对其实现电压故障穿越的方法进行了总结分析,然后对永磁风电机组的电压穿越技术的发展作了进一步的探讨。 相似文献
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在直驱风电机组状态空间模型、SVG状态空间模型的基础上,建立了含SVG直驱风电场并网系统降阶状态空间模型;分析发现直驱风电场内SVG可能引起宽频振荡.为了抑制含SVG直驱风电场内宽频振荡,提出了含SVG直驱风电场宽频振荡阻尼控制器设计方法.基于降阶状态空间模型,以目标振荡模式的阻尼比为目标函数,通过优化算法整定控制器参... 相似文献
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全功率变流风力发电系统电压跌落响应特性研究 总被引:1,自引:1,他引:0
随着风电机组数量的增加,电网故障时风机的动态响应越来越重要。利用madab/simulink,在建立采用永磁同步电机的直接驱动型变速恒频风电系统模型的基础上,分析了电网电压分别跌落30%-10s、50%-0.58s,85%-0.2s时永磁直驱式风电系统的动态响应。并搭建了实验系统,进行了实验验证。结果表明,直驱式风电系统在3种典型跌落情况下,具有良好的低压度过能力。 相似文献
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《Energy Conversion, IEEE Transaction on》2009,24(1):82-92
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采用转子动能控制方法对直驱永磁同步风力发电机组输出的有功功率进行功率平滑控制,并对控制效果进行优化。首先,分析转子动能控制造成功率损失的原因,并据此提出一种能够补偿功率损失的平滑指令,结合风电机组稳定性分析,得到风电机组采用功率平滑控制的条件,以此采用Matlab/Simulink进行仿真分析,验证所提控制策略的有效性。然后,利用模糊逻辑控制算法(FLC)进行优化控制,以提高风电机组输出有功功率平滑度和风能利用率,并改善由于功率指令切换造成的平滑度下降问题。最后,通过Matlab/Simulink进行仿真分析,对比不同参数下的优化效果,验证所提控制策略和优化方法的有效性。 相似文献
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Arash Hasssanpour ISFAHANI Amirhossein Haji-Seyed BOROUJERDI Saeed HASANZADEH 《Frontiers in Energy》2014,8(2):182-191
This paper presents a simultaneous multiobjective optimization of a direct-drive permanent magnet synchronous generator and a three-blade horizontal-axis wind turbine for a large scale wind energy conversion system. Analytical models of the generator and the turbine are used along with the cost model for optimization. Three important characteristics of the system i.e., the total cost of the generator and blades, the annual energy output and the total mass of generator and blades are chosen as objective functions for a multi-objective optimization. Genetic algorithm (GA) is then employed to optimize the value of eight design parameters including seven generator parameters and a turbine parameter resulting in a set of Pareto optimal solutions. Four optimal solutions are then selected by applying some practical restrictions on the Pareto front. One of these optimal designs is chosen for finite element verification. A circuit-fed coupled time stepping finite element method is then performed to evaluate the no-load and the full load performance analysis of the system including the generator, a rectifier and a resistive load. The results obtained by the finite element analysis (FEA) verify the accuracy of the analytical model and the proposed method. 相似文献
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This paper investigates the possible site matching of the direct-drive wind turbine concepts based on the electromagnetic design optimization of permanent magnet (PM) generator systems. Firstly, the analytical models of a three-phase radial-flux PM generator with a back-to-back power converter are presented. The optimum design models of direct-drive PM wind generation system are developed with an improved genetic algorithm, and a 500-kW direct-drive PM generator for the minimal generator active material cost is compared to demonstrate the effectiveness of the design optimization. Forty-five PM generator systems, the combinations of five rated rotor speeds in the range of 10–30 rpm and nine power ratings from 100 kW to 10 MW, are optimally designed, respectively. The optimum results are compared graphically in terms of the generator design indexes. Next, according to the design principle of the maximum wind energy capture, the rotor diameter and the rated wind speed of a direct-drive wind turbine with the optimum PM generator are determined. The annual energy output (AEO) is also presented using the Weibull density function. Finally, the maximum AEO per cost (AEOPC) of the optimized wind generator systems is evaluated at eight potential sites with annual mean wind speeds in the range of 3–10 m/s, respectively. These results have shown the suitable designs for the optimum site matching of the investigated PM generator systems. 相似文献