| 摘要: |
| 大规模风电的接入对电力系统稳定性带来了巨大挑战。双馈感应发电机(Doubly-Fed Induction Generator, DFIG)受风速强随机、建模不确定性的影响，经典比例-积分-微分(Proportional-Integral-Derivative, PID)控制难以获得令人满意的控制效果。提出了一种新型鲁棒无源控制(Robust Passive Control, RPC)以提高接入DFIG的电力系统稳定性。首先将发电机非线性、参数不确定性、未建模动态和风速随机性等效聚合为一个扰动，并由非线性扩展状态观测器(Extended State Observer, ESO)进行实时快速估计。随后，通过RPC对扰动估计进行在线完全补偿。同时，通过输出反馈对闭环系统能量进行重塑，从而注入较大的系统阻尼来改善DFIG在电力系统各种运行条件下的控制性能与暂态响应特性。最后，基于阶跃风速、机端电压跌落、区域间振荡以及发电机参数不确定性四个算例进行了仿真研究。仿真结果验证了RPC在各种工况下的有效性和鲁棒性。 |
| 关键词: 鲁棒无源控制 非线性观测器 增强系统稳定性 能量重塑 |
| DOI：10.19783/j.cnki.pspc.191112 |
| 投稿时间：2019-09-13修订日期：2019-10-26 |
| 基金项目:国家自然科学基金项目资助(61963020) |
|
| Nonlinear robust passive control for power system stability enhancement with wind power integration |
| SUN Liming,YANG Bo |
| (Guangzhou Shuimutech Co., Ltd., Guangzhou 510898, China;Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China) |
| Abstract: |
| Large-scale integration of wind power brings great challenges for power system stability. Because of the randomness of wind speed and generator parameter uncertainties, it is difficult for conventional Proportional- Integral-Differential (PID) control to achieve a satisfactory control performance for a Doubly-Fed Induction Generator (DFIG). In this paper, a novel Robust Passive Control (RPC) is proposed to improve the stability of a power system. First, the generator nonlinearities, parameter uncertainties, unmodelled dynamics and wind speed randomness are aggregated into a perturbation. Then, fast perturbation estimation is achieved by a nonlinear Extended State Observer (ESO) in real-time. Online complete compensation of perturbation is realized by RPC. Subsequently, considerable system damping can be injected to improve the transient responses of the DFIG under various operating conditions. Finally, four cases, such as step change of wind speed, voltage drop at power grid, inter-area type disturbance and generator parameter uncertainties are simulated and studied. Simulation results verify the effectiveness and robustness of RPC under various operating conditions. This work is supported by National Natural Science Foundation of China (No. 61963020). |
| Key words: robust passive control nonlinear observer stability enhancement energy reshaping |
