Model Predictive Control of Virtual Synchronous Generator to Improve Dynamic Characteristic of Frequency for Isolated Microgrid

被引：0

作者：

Chen L. ^{[1
,2
]}

Wang R. ^{[2
]}

Zheng T. ^{[1
,2
]}

Si Y. ^{[1
]}

Mei S. ^{[1
,2
]}

机构：

[1] Qinghai Key Lab of Efficient Utilization of Clean Energy, New Energy Photovoltaic Industry Research Center, Qinghai University, Xining

[2] State Key Laboratory of Control and Simulation of Power System and Generation Equipments (Tsinghua University), Beijing

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2018年 / 42卷 / 03期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Frequency dynamic characteristic; Isolated microgrid; Model predictive control; Virtual synchronous generator;

D O I：

10.7500/AEPS20170312003

中图分类号：

学科分类号：

摘要：

With the continuous increasing penetration of distributed energy in isolated microgrid, the inertia of system is getting lower gradually. Virtual synchronous generator (VSG), which can simulate the inertia of synchronous generator and plays a vital role in damping dynamic frequency variations, has been gradually applied in microgrid. Frequency of island microgrid will oscillate severely and even may exceed its safety constraints when the power imbalance caused by fluctuations of renewable energy output or loads switching happens. To deal with these problems, a virtual synchronous generator control method based on model predictive control is proposed. Firstly, the predictive model, which aims at optimizing the weighted combination of frequency deviation and VSG output with frequency change rate as the constraint is established. Then, the systematic control strategy is designed according to physical quantities, such as frequency, VSG output voltage and current, the increment of active power needed is calculated for changing the power reference of VSG. Meanwhile, the solution of the predictive model is given, and the convergence of the algorithm is analyzed, which provides the basis for selecting key parameters. The correctness and effectiveness of the proposed control strategy are verified by the simulation results of two typical cases. © 2018 Automation of Electric Power Systems Press.

引用

页码：40 / 47

页数：7

共 25 条

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