一个改进的模型预测控制背对背的三级NPC转换器与虚拟空间向量,用于基于PMSG的高功率风能转换系统
Ganesh Mayilsamy1, Seong Ryong Lee1, Young Hoon Joo1
1School of IT Information and Control Engineering, Kunsan National University, 588 Daehak-ro, Gunsan-si, Jeonbuk 54150, Republic of Korea.
ISA transactions
|October 9, 2023
概括
本研究介绍了风能系统的改进型预测控制 (MPC) 模型,降低了计算负载. 新的基于虚拟空间向量 (VSV) 的方法提高了永久磁铁同步发电机 (PMSG) 的效率和中性点电压平衡.
科学领域:
- 电气工程 电气工程
- 电力电子 电力电子 电力电子
- 可再生能源系统可再生能源系统
背景情况:
- 基于高功率永磁同步发电机 (PMSG) 的风能转换系统 (WECS) 需要有效的控制策略.
- 中性点紧 (NPC) 转换器在这些系统中至关重要,但在中性点电压平衡和计算复杂性方面面临挑战.
- 现有的模型预测控制 (MPC) 方案可以在实时应用中进行计算密集.
研究的目的:
- 在基于高功率PMSG的WECS中为NPC转换器提供一个改进的基于虚拟空间向量 (VSV) 的两阶段MPC方案.
- 通过采用两阶段预测方法来降低MPC的计算复杂性.
- 通过条件选择小电压向量来消除中性点电压平衡约束.
主要方法:
- 在MPC框架内实施了两阶段的预测策略.
- 第一个阶段的预测使用成本函数确定一个最佳的虚拟空间向量 (VSV).
- 第二阶段的预测改进了基于电容器电压水平的子部门向量的选择,结合了小电压向量的条件选择来管理中性点电压.
主要成果:
- 拟议的基于VSV的两阶段MPC方案有效降低了计算复杂性.
- 该方法成功地消除了中性点电压平衡约束.
- 模拟证实了该方案在一个背对背的NPC转换器中的有效性,用于高功率的基于PMSG的WECS.
结论:
- 本次介绍的改进的基于VSV的双阶段MPC为基于PMSG的WECS中的高功率NPC转换器提供了一种高效和计算可行的控制解决方案.
- 该方案显示了关键功能的适应性,包括最大功率点跟踪,反应功率控制和直流连接电压控制.
- 这种先进的控制策略有助于风能系统的可靠和高效运行.
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