不平衡电压下的DFIG模型预测直接功率控制OA北大核心CSTPCD
Model Predictive Direct Power Control of DFIG Under Unbalanced Voltage
为提高双馈风力发电机在不平衡电网电压工况下的运行性能,提出一种扩张状态观测器与模型预测控制相结合的直接功率控制策略.首先,采用扩张状态观测器对系统中因负序分量引起的不确定项、模型误差及外部扰动等不确定因素进行参数估计.然后,结合模型预测控制理论建立双馈风力发电机模型预测直接功率控制数学模型.最后,针对不平衡电网电压下的功率振荡分量讨论功率优化补偿方案.仿真结果验证了所提方法的有效性.
To enhance the running performance of a doubly-fed induction generator(DFIG)under unbalanced grid volt-age conditions,a direct power control strategy which combines an extended state observer(ESO)and model predictive control is proposed.First,the ESO is applied to estimate parameters for uncertainties in the system caused by negative-sequence components,model errors and external perturbations.Then,a model predictive direct power control mathe-matical model of DFIG is established by combining the model predictive control theory.Finally,the power optimization compensation scheme is discussed for the power oscillation component under the unbalanced grid voltage.Simulation re-sults verify the effectiveness of the proposed method.
王豪;董锋斌;王凯;史新涛
陕西理工大学电气工程学院,汉中 723000
动力与电气工程
双馈风力发电机不平衡电压扩张状态观测器模型预测直接功率控制鲁棒性
doubly-fed induction generator(DFIG)unbalanced grid voltageextended state observer(ESO)model predictive direct power controlrobustness
《电力系统及其自动化学报》 2024 (004)
84-93 / 10
陕西省自然科学基础研究计划资助项目(2023-JC-YB-442)
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