Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System

A large scale of renewable energy employing grid connected electronic inverters fail to contribute inertia or damping to power systems, and, therefore, may bring negative effects to the stability of power system. As a solution, an advanced Virtual Synchronous Generator (VSG) control technology based...

Full description

Bibliographic Details
Main Authors: Yanfeng Ma, Zijian Lin, Rennan Yu, Shuqiang Zhao
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/11/3/677
_version_ 1811307426878586880
author Yanfeng Ma
Zijian Lin
Rennan Yu
Shuqiang Zhao
author_facet Yanfeng Ma
Zijian Lin
Rennan Yu
Shuqiang Zhao
author_sort Yanfeng Ma
collection DOAJ
description A large scale of renewable energy employing grid connected electronic inverters fail to contribute inertia or damping to power systems, and, therefore, may bring negative effects to the stability of power system. As a solution, an advanced Virtual Synchronous Generator (VSG) control technology based on Hamilton approach is introduced in this paper firstly to support the frequency and enhance the suitability and robustness of the system. The charge and discharge process of power storage devices forms the virtual inertia and damping of VSG, and, therefore, limits on storage capacity may change the coefficients of VSG. To provide a method in keeping system output in an acceptable level with the capacity restriction in a transient period, an energy control algorithm is designed for VSG adaptive control. Finally, simulations are conducted in DIgSILENT to demonstrate the correctness of the algorithm. The demonstration shows: (1) the proposed control model aims at better system robustness and stability; and (2) the model performs in the environment closer to practical engineering by fitting the operation state of storage system.
first_indexed 2024-04-13T09:04:10Z
format Article
id doaj.art-47118b9d797b4f9dbda237d404c6b13a
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-04-13T09:04:10Z
publishDate 2018-03-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-47118b9d797b4f9dbda237d404c6b13a2022-12-22T02:53:02ZengMDPI AGEnergies1996-10732018-03-0111367710.3390/en11030677en11030677Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage SystemYanfeng Ma0Zijian Lin1Rennan Yu2Shuqiang Zhao3Department of Electrical Engineering, North China Electric Power University, Baoding 071003, ChinaDepartment of Electrical Engineering, North China Electric Power University, Baoding 071003, ChinaFuzhou Power Supply Company of State Grid Fujian Electric Power Company, Fuzhou 350003, ChinaDepartment of Electrical Engineering, North China Electric Power University, Baoding 071003, ChinaA large scale of renewable energy employing grid connected electronic inverters fail to contribute inertia or damping to power systems, and, therefore, may bring negative effects to the stability of power system. As a solution, an advanced Virtual Synchronous Generator (VSG) control technology based on Hamilton approach is introduced in this paper firstly to support the frequency and enhance the suitability and robustness of the system. The charge and discharge process of power storage devices forms the virtual inertia and damping of VSG, and, therefore, limits on storage capacity may change the coefficients of VSG. To provide a method in keeping system output in an acceptable level with the capacity restriction in a transient period, an energy control algorithm is designed for VSG adaptive control. Finally, simulations are conducted in DIgSILENT to demonstrate the correctness of the algorithm. The demonstration shows: (1) the proposed control model aims at better system robustness and stability; and (2) the model performs in the environment closer to practical engineering by fitting the operation state of storage system.http://www.mdpi.com/1996-1073/11/3/677VSGdissipative Hamiltonian systemenergy storagesmall-signal model
spellingShingle Yanfeng Ma
Zijian Lin
Rennan Yu
Shuqiang Zhao
Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System
Energies
VSG
dissipative Hamiltonian system
energy storage
small-signal model
title Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System
title_full Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System
title_fullStr Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System
title_full_unstemmed Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System
title_short Research on Improved VSG Control Algorithm Based on Capacity-Limited Energy Storage System
title_sort research on improved vsg control algorithm based on capacity limited energy storage system
topic VSG
dissipative Hamiltonian system
energy storage
small-signal model
url http://www.mdpi.com/1996-1073/11/3/677
work_keys_str_mv AT yanfengma researchonimprovedvsgcontrolalgorithmbasedoncapacitylimitedenergystoragesystem
AT zijianlin researchonimprovedvsgcontrolalgorithmbasedoncapacitylimitedenergystoragesystem
AT rennanyu researchonimprovedvsgcontrolalgorithmbasedoncapacitylimitedenergystoragesystem
AT shuqiangzhao researchonimprovedvsgcontrolalgorithmbasedoncapacitylimitedenergystoragesystem