Hierarchical optimal scheduling of DC distribution network based on model predictive control theory

被引：0

作者：

Jin, Lu ^{[1
]}

Lu, Yan ^{[1
]}

Du, Kai ^{[1
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Coll Automat, Chongqing, Peoples R China

来源：

2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年

关键词：

Dc distribution network; power flow calculation; MPC; particle swarm optimization;

D O I：

10.1109/CCDC58219.2023.10327274

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The existing AC distribution network faces many challenges, such as diversified demand, complicated power flow dispatching, and large-scale access of distributed generation. Dc distribution network with flexible DC devices has become the research and development direction of electric power industry. In this paper, combined with the operating principle and characteristics of the flexible DC device, the power flow model of the flexible DC device is established, and then the power flow model including distributed power supply is established. Then, a dual-layer optimization strategy of DC distribution network based on model predictive control is proposed, and the MATLAB simulation platform is built to verify the effectiveness and feasibility of the strategy.

引用

页码：1355 / 1360

页数：6

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