This study was an attempted to present an organized structure of double-fed induction generator wind power plant with power oscillation damper (POD) in operational way and adjustable error-driven stabilizer to increase low-band oscillation reacted to their impacts in the energy system in state of charging. A novel non-linear stabilizer is suggested in the current research to compensate for the drawback of traditional stabilizers in monitoring the oscillation conditions which are internal and consequently to achieve better results in a greater range of disorders. Actually, the applied stabilizer is elastic and error-driven. Adjusting parameters of the suggested method properly plays a vital role in its efficiency. Consequently, the parameters set serve as an optimization problem which is solved by an algorithm of virus colony search (VCS) with several objectives time-domain and complex-domain. The reason behind using this algorithm is to make sure that solutions are not entrapped in local optima under the condition that the grid undergoes optimizing a great number of variables. The developed probabilistic method in frequency-domain chooses just the most favorable positions under the condition of providing the whole generators with stabilizer due to decreasing the initial expense. Lastly, a novel improved virus colony search algorithm with several objectives is implemented to provide solution for optimum adjusting of suggested stabilizer and power oscillation damper variables which serve as an optimization problem with several objectives. Confirming the efficiency of the planned method was conducted via concurrent use of eigenvalue analysis and time domain non-linear modeling in terms of various functioning states. The low frequency oscillations (LFOs) could be damped in the optimal way and as a result the stability performance of the case study system would develop meaningfully.

本研究试图提出一种双馈感应发电机风力发电厂的有组织结构，其具有可操作的功率振荡阻尼器 (POD) 和可调误差驱动稳定器，以增加对它们在能源系统中的影响的低频带振荡反应。充电状态。目前的研究中提出了一种新型非线性稳定器，以弥补传统稳定器在监测内部振荡条件方面的缺陷，从而在更大范围的紊乱中获得更好的结果。实际上，应用的稳定器是弹性的和误差驱动的。适当调整建议方法的参数对其效率起着至关重要的作用。最后，参数集作为一个优化问题，由具有多个目标时域和复域的病毒菌落搜索 (VCS) 算法解决。使用该算法的原因是为了确保在网格经历大量变量优化的情况下，解不会陷入局部最优。所开发的频域概率方法在为整个发电机提供稳定器的条件下，由于降低了初始费用，只选择最有利的位置。最后，实现了一种具有多个目标的新型改进病毒菌落搜索算法​​，为建议的稳定器和功率振荡阻尼器变量的优化调整提供解决方案，这些变量作为具有多个目标的优化问题。通过在各种功能状态方面同时使用特征值分析和时域非线性建模来确认计划方法的效率。低频振荡 (LFO) 可以以最佳方式衰减，因此案例研究系统的稳定性性能将得到有意义的发展。