Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control Algorithm
In recent years, the power control method of the primary control layer in a microgrid hierarchical control system has substantially improved. However, the corresponding improvement in the dynamic response performance of the output controller remains challenging in the field of microgrid research. In...
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doaj-0eccea5205eb40859f6ae45061c652812021-03-30T00:20:24ZengIEEEIEEE Access2169-35362019-01-01715845915848010.1109/ACCESS.2019.29499098884090Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control AlgorithmRunnan Dong0https://orcid.org/0000-0001-5718-4291Shi Liu1Geng Liang2Xin An3Yuanyuan Xu4School of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Beijing, ChinaSchool of Economic and Management, North China Electric Power University, Beijing, ChinaIn recent years, the power control method of the primary control layer in a microgrid hierarchical control system has substantially improved. However, the corresponding improvement in the dynamic response performance of the output controller remains challenging in the field of microgrid research. In this study, based on the topology of a microgrid control system, a control network was constructed with a voltage source inverter (VSI) control node as its main body. After analyzing its characteristics, the dynamic response capability of the primary layer was determined to be limited because the complex control network that comprises multiple proportional-integral (PI) controllers inherits and amplifies the PI controller dynamics. In this study, we replaced the VSI output controller in the conventional control structure with a dynamic matrix control (DMC) algorithm to reduce the number of PI controllers, maintain the existing power stability control and improve the dynamic response performance of the primary VSI node. The effectiveness and advantages of the improved output controller of the VSI node based on the DMC algorithm were verified by comparing simulations and experiments that were conducted in the same environment. The simulation and experimental results show that the response speed of the DMC-based VSI node was improved, and the overshoot, fluctuation, and steady-state errors in the response process were reduced.https://ieeexplore.ieee.org/document/8884090/Distributed power generationdynamicsmicrogridmodelingPI controlpower system control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Runnan Dong Shi Liu Geng Liang Xin An Yuanyuan Xu |
spellingShingle |
Runnan Dong Shi Liu Geng Liang Xin An Yuanyuan Xu Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control Algorithm IEEE Access Distributed power generation dynamics microgrid modeling PI control power system control |
author_facet |
Runnan Dong Shi Liu Geng Liang Xin An Yuanyuan Xu |
author_sort |
Runnan Dong |
title |
Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control Algorithm |
title_short |
Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control Algorithm |
title_full |
Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control Algorithm |
title_fullStr |
Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control Algorithm |
title_full_unstemmed |
Output Control Method of Microgrid VSI Control Network Based on Dynamic Matrix Control Algorithm |
title_sort |
output control method of microgrid vsi control network based on dynamic matrix control algorithm |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
In recent years, the power control method of the primary control layer in a microgrid hierarchical control system has substantially improved. However, the corresponding improvement in the dynamic response performance of the output controller remains challenging in the field of microgrid research. In this study, based on the topology of a microgrid control system, a control network was constructed with a voltage source inverter (VSI) control node as its main body. After analyzing its characteristics, the dynamic response capability of the primary layer was determined to be limited because the complex control network that comprises multiple proportional-integral (PI) controllers inherits and amplifies the PI controller dynamics. In this study, we replaced the VSI output controller in the conventional control structure with a dynamic matrix control (DMC) algorithm to reduce the number of PI controllers, maintain the existing power stability control and improve the dynamic response performance of the primary VSI node. The effectiveness and advantages of the improved output controller of the VSI node based on the DMC algorithm were verified by comparing simulations and experiments that were conducted in the same environment. The simulation and experimental results show that the response speed of the DMC-based VSI node was improved, and the overshoot, fluctuation, and steady-state errors in the response process were reduced. |
topic |
Distributed power generation dynamics microgrid modeling PI control power system control |
url |
https://ieeexplore.ieee.org/document/8884090/ |
work_keys_str_mv |
AT runnandong outputcontrolmethodofmicrogridvsicontrolnetworkbasedondynamicmatrixcontrolalgorithm AT shiliu outputcontrolmethodofmicrogridvsicontrolnetworkbasedondynamicmatrixcontrolalgorithm AT gengliang outputcontrolmethodofmicrogridvsicontrolnetworkbasedondynamicmatrixcontrolalgorithm AT xinan outputcontrolmethodofmicrogridvsicontrolnetworkbasedondynamicmatrixcontrolalgorithm AT yuanyuanxu outputcontrolmethodofmicrogridvsicontrolnetworkbasedondynamicmatrixcontrolalgorithm |
_version_ |
1724188408526405632 |