基于PSASP 自定义接口功能的直驱型风电机组简化模型
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TM614

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国家自然科学基金优青项目(51422701)


Simplified modeling and parameter identification of directly driven wind turbine with permanent magnet synchronous generator based on PSASP
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    摘要:

    针对大规模直驱永磁风电系统机电暂态仿真时采用PSASP自带的通用发电机模型不能表述实际直驱型永磁风力发电机组(简称D-PMSG)运行特性的问题,以某地近海风电场D-PMSG单机测试数据作为参考,利用PSASP自定义建模环境(PSAP/UD)搭建直驱永磁风机暂态简化模型。D-PMSG暂态简化模型忽略发电机及机侧变流器影响,同时考虑低电压穿越时动态短路电流的特性、电压频率保护控制以及有功恢复速率设置,将D-PMSG当成带有低压穿越保护的受控电流源,并根据D-PMSG低压穿越时的实测数据基于遗传算法实现了重要参数的优化工作。通过分别将D-PMSG暂态简化模型与详细模型、增加爬坡功率设置以及单机测试系统实测运行数据在三相短路故障条件下的对比,验证了D-PMSG暂态简化方法的正确性,以及参数优化方法的有效性。

    Abstract:

    To solve the problem that the PSASP built-in generator model can’t express the actual operating characteristics of direct-driven permanent magnet wind turbine(D-PMSG)in large-scale wind farm system, a simplified D-PMSG based on PSASP user custom model(PSASP/UD)has been built. The influences of generator and machine side converter are ignored by the transient simplified model of permanent magnet direct-drive fan. Considering the characteristics of the dynamic short circuit current during low voltage ride-through, the voltage frequency protection control and the active recovery rate setting, the transient simplified model is taken as a controlled current source with low-voltage protection characteristics and important parameters are optimized based on genetic algorithm. By comparing the D-PMSG transient simplified model with the detailed model, increasing the active recovery rate setting, and comparing the measured operating data of the single-machine test system under three-phase short-circuit fault condition, the correctness of transient simplified method for the permanent magnet direct-drive fan has been verified, and the parameter optimization method is also validated.

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吴峰,雎康,黄弘扬,等.基于PSASP 自定义接口功能的直驱型风电机组简化模型[J].河海大学学报(自然科学版),2019,47(1):79-87.(WU Feng, JU Kang, HUANG Hongyang, et al. Simplified modeling and parameter identification of directly driven wind turbine with permanent magnet synchronous generator based on PSASP[J]. Journal of Hohai University (Natural Sciences),2019,47(1):79-87.(in Chinese))

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  • 在线发布日期: 2019-01-24
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