现代电力2026，Vol.43Issue(4)：784-792,9.DOI:10.19725/j.cnki.1007-2322.2024.0125
基于改进直接电流模型预测方法的飞轮电机控制
Flywheel Motor Control Based on Improved Direct Current Model Prediction Control Method
张小科 1张少锋 1王景钢 2赵光金 1车其祥 3殷博宇 3何成兵3
作者信息
- 1. 国网河南省电力公司电力科学研究院,河南省 郑州市 450052
- 2. 国网河南省电力公司,河南省 郑州市 450000
- 3. 华北电力大学 能源动力与机械工程学院,北京市 昌平区 102206
- 折叠
摘要
Abstract
With the growing proportion of new energy power generation,the stability of power grid operation is facing great challenges.As a form of mechanical energy storage,flywheel energy storage can improve the frequency and peak regulation ability of power grid.In this paper,an Improved Direct Current Model Predictive Control(IDC-MPC)method is proposed to enhance the control performance of flywheel motors.The cost function of IDC-MPC has been improved by adding a switching frequency term,and a decision model is consequently constructed using the Analytic Hierarchy Process,allowing for the calculation of various weights.By synthesizing two adjacent basic voltage vectors into extended voltage vectors,the voltage vector set of IDC-MPC is improved,thereby enhancing the precision of motor control.A stepwise optimization method for voltage vector selection is proposed to reduce the number of voltage vector selection iterations of IDC-MPC and reduce system computational complexity simultaneously.Finally,the proposed method is simulated and verified,and further compared with PI control and direct current predictive control to demonstrate its feasibility and superiority.关键词
飞轮储能/改进直接电流模型预测控制/永磁同步电机/代价函数/层次分析法Key words
flywheel energy storage/improved direct current model predictive control/permanent magnet synchronous motor/cost function/analytic hierarchy process分类
信息技术与安全科学引用本文复制引用
张小科,张少锋,王景钢,赵光金,车其祥,殷博宇,何成兵..基于改进直接电流模型预测方法的飞轮电机控制[J].现代电力,2026,43(4):784-792,9.
