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Optimization of damping controller for PSS and SSSC to improve stability of interconnected system with DFIG based wind farm

机译:优化PSS和SSSC的阻尼控制器以提高基于DFIG的风电场的互联系统的稳定性

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This paper studies the stability issues of the Double Fed Induction Generator (DFIG) based wind farm in the power system with variable wind speed in strong and weak grid. With the intermittent generation of the wind power, it experiences instability and malfunction. The nature of Electromechanical Modes of Oscillations (EMOs) for DFIG incorporated into the multi-machine system under various conditions is explored considering system uncertainties. In this paper, the impact of Power System Stabilizer (PSS) and Static Series Synchronous Compensator (SSSC) on the stability of wind power system is analyzed by utilizing modified IEEE 14-bus test system. The rotor speed deviation is the objective function for particle swarm optimization and is formulated based on the transient and small signal stability. The transient and small signal stability investigations are performed by using time domain simulation and eigenvalue analysis respectively. The sensitivity analysis is carried out with degree of compensation of SSSC and coefficient of damping gain of PSS as sensitivity parameter, The performance of the modified test system is examined for transient and small signal stability for DFIG based wind farm for variable wind speed and grid strength considering different combinations of PSS and SSSC. From the results, it is noticed that oscillations in the system are minimized, damping, transient and small signal stability are enhanced and also the capability of synchronous generator and DFIG under extreme disturbance is intensified by optimization the coordinated controllers' parameters. The analyses also show that damping ratio is improved for most of the EMOs. Sensitivity analysis identifies EMOs that have detrimental and beneficial impacts on the system.
机译:本文研究了在强弱电网中风速可变的电力系统中基于双馈感应发电机(DFIG)的风电场的稳定性问题。随着风力的间歇性产生,其经历了不稳定和故障。考虑到系统的不确定性,探讨了在各种条件下将DFIG引入多机系统的机电振荡模式(EMO)的本质。本文利用改进的IEEE 14总线测试系统,分析了电力系统稳定器(PSS)和静态串联同步补偿器(SSSC)对风力发电系统稳定性的影响。转子速度偏差是粒子群优化的目标函数,是根据瞬态和小信号稳定性制定的。瞬态和小信号稳定性研究分别通过时域仿真和特征值分析来进行。以SSSC的补偿程度和PSS的阻尼增益系数作为灵敏度参数进行了灵敏度分析,针对DFIG型风电场在可变风速和电网强度的情况下,对改进的测试系统的性能进行了测试,以评估其瞬态和小信号稳定性考虑PSS和SSSC的不同组合。从结果可以看出,通过优化协调控制器的参数,可以最大程度地减少系统中的振荡,增强阻尼,瞬态和小信号稳定性,并且还可以增强同步发电机和DFIG在极端干扰下的能力。分析还表明,大多数EMO的阻尼比都有所提高。敏感性分析可识别对系统产生有害和有益影响的EMO。

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