SSPFM Control Strategy for Capacitance Equalizing the MMC-HVDC System Based on Model Predictions

FU Hua; CAO Qingchun

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SSPFM Control Strategy for Capacitance Equalizing the MMC-HVDC System Based on Model Predictions

更新时间：2025-12-08

- SSPFM Control Strategy for Capacitance Equalizing the MMC-HVDC System Based on Model Predictions
- Vol. 43, Issue 4, Pages: 1114-1120(2017)
- 作者机构：
  
  辽宁工程技术大学电气与控制工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：10 April 2017，
  
  Published：2017
- 稿件说明：
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FU Hua, CAO Qingchun. SSPFM Control Strategy for Capacitance Equalizing the MMC-HVDC System Based on Model Predictions[J]. 2017, 43(4): 1114-1120.
DOI：

FU Hua, CAO Qingchun. SSPFM Control Strategy for Capacitance Equalizing the MMC-HVDC System Based on Model Predictions[J]. 2017, 43(4): 1114-1120. DOI：

摘要

针对模块化多电平高压直流输电(MMC-HVDC)系统采用双闭环PI控制参数存在整定难和动态响应慢的问题

提出了一种应用于MMC-HVDC的模型预测控制方法。但模块电容均压排序在具有大规模桥臂模块数的模型预测控制(MPC)策略中存在局限性

提出了希尔排序优化质因子算法(SSPFM)电容均压分组排序方法

通过SSPFM-MPC控制策略

使MMC-HVDC系统具有良好的动态功率响应性能

实现了子模块电容电压均衡与环流抑制之间的良好协调。在PSCAD/EMTDC中搭建了两端401电平MMC-HVDC仿真模型

通过SSPFM-MPC将电压排序的MPC模型的401种组合状态减少到了36种

且系统动态响应良好

验证了所提方法的正确性。

Abstract

In view of the problems of difficult parameters setting and slowly dynamic response of double closed-loops PI control adopted by conventional MMC-HVDC system

we propose a model predictive control method applied in MMC-HVDC. Traditional module capacitor voltage-sharing sequencing is limited in large-scale level MPC control strategy. Therefore

SSPFM capacitance voltage-sharing group sequencing is put forward. SSPFM-MPC control strategy endows MMC-HVDC system with favorable dynamic performance

and realizes the perfect combination between sub-module capacitor voltage balancing and circulation inhibition. Finally

two-end 401 level MMC-HVDC simulation model is established in PSCAD/EMTDC. Moreover

401 kinds of composite states of MPC model of traditional voltage sequencing are decreased to 36 kinds through SSPFM-MPC. The dynamic response of system is favorable

which effectively verifies the correctness of the proposed method.

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