改善含风电场虚拟惯量互联电力系统稳定性的自适应鲁棒滑模控制策略

在以风电为代表的可再生能源大规模接入传统电力系统的背景下，非同步机电源与同步机电源之间的耦合作用以及风电出力的不确定性，使互联电力系统稳定性控制面临复杂的运行场景。针对该问题，基于功率平衡原理建立考虑双馈风电机组虚拟惯量影响的同步发电机组等效转子运动模型，将系统参数协调性及故障因素统一表达为等效惯量参数摄动及有界的不确定扰动；运用滑模变结构方法，结合等效惯量和等效阻尼的可变性及可控性，提出一种自适应鲁棒滑模控制策略以改善互联电力系统的动态稳定性。理论分析和仿真结果表明，与传统的虚拟惯量控制方法相比，所提控制策略能够更好地抑制频率振荡，降低频率变化率以及相对功角振荡幅度。

Adaptive robust-sliding mode control strategy for improving stability of interconnected power system with virtual inertia of wind farm

Under the background of large-scale integration of renewable energy represented by wind power into the traditional power system, the coupling effect of non-synchronous generator source and synchronous generator source and the uncertainty of wind power output make the stability control of interconnected power system face complex operation scenarios. Aiming at this problem, an equivalent rotor motion model of synchronous generator considering the effect of virtual inertia of wind turbine is built based on the principle of power balance, and the system parameter coordination and fault factors are expressed as equivalent inertia parameter perturbation and bounded uncertain disturbance. Using sliding mode variable structure method, combined with the variability and controllability of equivalent inertia and equivalent damping, an AR-SMC (Adaptive Robust-Sliding Mode Control) strategy is proposed to improve the dynamic stability of interconnected power system. The theoretical analysis and simulative results show that, compared with the traditional virtual inertia control method, the proposed control strategy can better suppress frequency oscillation and reduce the rate of change of frequency and relative power angle oscillation amplitude.