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耙吸式挖泥船电网无功补偿装置控制研究

Research on Control of Reactive Power Compensation Device of Drag Suction Dredger Power Grid
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摘要 船舶电网的稳定运行关系到整个船舶的安全运营,传统的耙吸式挖泥船船采用同步调相机对电网进行无功补偿,但其响应速度较慢,功率损耗大,噪声大,并且对电网无功补偿的能力有限.文中采用TSC+TSR(晶闸管投切电容器+晶闸管投切电抗器)混合无功补偿装置,以功率因数和无功功率为控制目标参数,采用双闭环控制对6.6 kV全电力系统的耙吸式挖泥船电网进行无功补偿,重点阐述其控制策略并在Simulink平台搭建其仿真模型进行仿真实验.仿真实验结果表明在船舶负载发生突变时,TSC无功补偿装置能够迅速响应,将电网的功率因数提高到0.98以上,当电网功率因数稳定后,TSR投入运行抵消过补偿的容性无功功率,最终使电网呈弱感性以大于0.98的功率因数稳定运行. The stable operation of the ship’s power grid is related to the safe operation of the whole ship.The traditional drag suction dredger ship uses synchronous condenser to compensate the reactive power of the power grid,but it has the disadvantages of slow response speed,large power loss,large noise and limited ability to compensate the reactive power of the power grid.In this paper,TSC+TSR(Thyristor Switching Capacitor+Thyristor Switching Reactor)hybrid reactive power compensation device was adopted.With power factor and reactive power as control target parameters,double closed-loop control was adopted to compensate reactive power of 6.6 kV trailing suction dredger power grid in full power system.The control strategy and the simulation model built by Simulink platform were emphasized.The simulation results show that the TSC reactive power compensation device can respond quickly when the ship load changes abruptly,increasing the power factor of the power grid to more than 0.98.When the power factor of the power grid is stable,TSR is put into operation to offset the overcompensated capacitive reactive power,and finally the power grid runs stably with a weak inductance and a power factor greater than 0.98.
作者 杨二中 朱汉华 徐合力 YANG Erzhong;ZHU Hanhua;XU Heli(School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China)
出处 《武汉理工大学学报(交通科学与工程版)》 2020年第2期352-357,共6页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 国家自然科学基金面上项目资助(51679178)。
关键词 耙吸式挖泥船 TSC+TSR混合无功补偿装置 控制策略 建模与仿真 drag suction dredger TSC+TSR hybrid reactive power compensation device control strategy modeling and simulation
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