Alarming greenhouse gaseous emissions is one of the key factors for meeting future energy demand from sustainable eco-friendly resources like wind and solar. These resources use power electronic converters for the interconnection with the grid resulting in their zero/low inertia response. This can lead to non-deterministic damping of low-frequency oscillations in the power system. Moreover, this may impose Small-Signal Stability (SSS) challenges for the secure operation & control of power systems. A two-stage method is proposed in this paper to enhance the damping of multiple critical modes in large interconnected networks with high penetration of wind turbine generators (WTGs). Damping Ratio Sensitivity Index (DRSI) at a candidate location is the summation of sensitivities of damping ratios (DRs) of critical electromechanical modes (EMs) against inertia. But, the sensitivities of DRs of various EMs w.r.t inertia at a specific candidate location can be equal and opposite. This can lead to their mutual cancellation and hence DRSI may not be sufficient to identify the impact of WTGs in networks with multiple critical EMs. Thus, stage-1 of the proposed method introduces an improved Weighted Damping Sensitivity Ratio (WDSR) for identifying the locations for integrating WTGs with beneficial impacts on SSS. It assigns weight to the sensitivity factors of DRs and hence annihilates the problem with their amalgamation which exists in the case of DRSI. The modified WDSR performs the sequential computation of DR sensitivity analysis. This ensures that the variations in the DR sensitivities of critical modes against inertia due to WTG integration are not ignored. A multiband Optimized Battery Damping Controller (OBDC) is proposed in stage-2 for improving the damping of critical inter-area (IA) modes in networks with high WTG penetration. The location of the battery energy storage system (BESS) is determined based on a stability index. The proposed multiband controller is implemented using a single BESS and is optimally tuned for the most vulnerable operating scenarios identified for the critical modes. The performance of the proposed two-stage method is evaluated using the modified IEEE 68 bus system for a wide range of operating conditions and it is observed that damping of all the critical modes has improved to more than 5% in each operating scenario.

令人震惊的温室气体排放是满足可持续的生态友好资源（如风能和太阳能）满足未来能源需求的关键因素之一。这些资源使用功率电子转换器与电网互连，从而实现零/低惯性响应。这可能导致电源系统中低频振荡的不确定性衰减。此外，这可能对电力系统的安全运行和控制提出小信号稳定性（SSS）挑战。本文提出了一种两阶段方法，以增强具有高穿透力的风力发电机组的大型互连网络中多个临界模式的阻尼。候选位置的阻尼比灵敏度指数（DRSI）是关键机电模式（EMs）的阻尼比（DRs）对惯性的灵敏度之和。但是，在特定候选位置处具有惯性的各种EM的DR的灵敏度可以相等，也可以相反。这可能导致它们相互抵消，因此DRSI可能不足以识别WTG在具有多个关键EM的网络中的影响。因此，所提出方法的第一阶段引入了一种改进的加权阻尼敏感度比（WDSR），用于识别集成WTG的位置，并对WSS具有有益的影响。它为DR的敏感度分配权重，因此消除了DRSI情况下存在的合并问题。修改后的WDSR执行DR敏感性分析的顺序计算。这确保了不会忽略由于WTG积分而导致的临界模式对惯性的DR灵敏度的变化。在阶段2中，提出了一种多频带优化的电池阻尼控制器（OBDC），以提高WTG渗透率较高的网络中的关键区域间（IA）模式的阻尼。电池储能系统（BESS）的位置基于稳定性指标确定。所提出的多频带控制器使用单个BESS实施，并且针对针对关键模式确定的最脆弱的操作方案进行了优化调整。