Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation

To leverage the efficacy of different types of energy storage in improving the frequency of the power grid in the frequency regulation of the power system, we scrutinized the capacity allocation of hybrid energy storage power stations when participating in the frequency regulation of the power grid....

Full description

Bibliographic Details
Published in:Processes
Main Authors: Hongtu Zhang, Xinyan Zhang, Zhilei Wang, Guangyu He, Ku Cui, Xianlan Wang
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Online Access:https://doi.org/10.3390/pr11102843
https://doaj.org/article/5f42bbea5cbd41f1a9fa2d27c77738f7
id ftdoajarticles:oai:doaj.org/article:5f42bbea5cbd41f1a9fa2d27c77738f7
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:5f42bbea5cbd41f1a9fa2d27c77738f7 2023-11-12T04:23:17+01:00 Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation Hongtu Zhang Xinyan Zhang Zhilei Wang Guangyu He Ku Cui Xianlan Wang 2023-09-01T00:00:00Z https://doi.org/10.3390/pr11102843 https://doaj.org/article/5f42bbea5cbd41f1a9fa2d27c77738f7 EN eng MDPI AG https://www.mdpi.com/2227-9717/11/10/2843 https://doaj.org/toc/2227-9717 doi:10.3390/pr11102843 2227-9717 https://doaj.org/article/5f42bbea5cbd41f1a9fa2d27c77738f7 Processes, Vol 11, Iss 2843, p 2843 (2023) hybrid energy storage capacity configuration primary frequency modulation northern goshawk optimization variate mode decomposition Chemical technology TP1-1185 Chemistry QD1-999 article 2023 ftdoajarticles https://doi.org/10.3390/pr11102843 2023-10-29T00:35:49Z To leverage the efficacy of different types of energy storage in improving the frequency of the power grid in the frequency regulation of the power system, we scrutinized the capacity allocation of hybrid energy storage power stations when participating in the frequency regulation of the power grid. Using MATLAB/Simulink, we established a regional model of a primary frequency regulation system with hybrid energy storage, with which we could obtain the target power required by the system when continuous load disturbance of the regional power grid causes frequency fluctuation. To optimize the variational mode decomposition, we proposed a capacity allocation method of hybrid energy storage power station based on the northern goshawk optimization algorithm based on the target power. Then, we adopted the northern goshawk optimization algorithm to optimize the number of modal decomposition and penalty factors of variational mode decomposition, avoiding subjectivity. The algorithm decomposition generated the number of modes, and we used the mode numbers to reconstruct the power components in various schemes. The power modal components were allocated to different types of energy storage systems according to the frequencies, namely, high, medium, and low, during which process the power and capacity of each type of energy storage were determined. The results show that the selection of a reasonable scheme can minimize the capacity allocation cost of a regional grid hybrid energy storage power station. Taking the 250 MW regional power grid as an example, a regional frequency regulation model was established, and the frequency regulation simulation and hybrid energy storage power station capacity configuration were carried out on the regional power grid disturbed by continuous load, verifying the rationality of the proposed capacity allocation method and providing certain reference significance for the capacity configuration of a hybrid energy storage power station. Article in Journal/Newspaper Northern Goshawk Directory of Open Access Journals: DOAJ Articles Processes 11 10 2843
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic hybrid energy storage
capacity configuration
primary frequency modulation
northern goshawk optimization
variate mode decomposition
Chemical technology
TP1-1185
Chemistry
QD1-999
spellingShingle hybrid energy storage
capacity configuration
primary frequency modulation
northern goshawk optimization
variate mode decomposition
Chemical technology
TP1-1185
Chemistry
QD1-999
Hongtu Zhang
Xinyan Zhang
Zhilei Wang
Guangyu He
Ku Cui
Xianlan Wang
Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation
topic_facet hybrid energy storage
capacity configuration
primary frequency modulation
northern goshawk optimization
variate mode decomposition
Chemical technology
TP1-1185
Chemistry
QD1-999
description To leverage the efficacy of different types of energy storage in improving the frequency of the power grid in the frequency regulation of the power system, we scrutinized the capacity allocation of hybrid energy storage power stations when participating in the frequency regulation of the power grid. Using MATLAB/Simulink, we established a regional model of a primary frequency regulation system with hybrid energy storage, with which we could obtain the target power required by the system when continuous load disturbance of the regional power grid causes frequency fluctuation. To optimize the variational mode decomposition, we proposed a capacity allocation method of hybrid energy storage power station based on the northern goshawk optimization algorithm based on the target power. Then, we adopted the northern goshawk optimization algorithm to optimize the number of modal decomposition and penalty factors of variational mode decomposition, avoiding subjectivity. The algorithm decomposition generated the number of modes, and we used the mode numbers to reconstruct the power components in various schemes. The power modal components were allocated to different types of energy storage systems according to the frequencies, namely, high, medium, and low, during which process the power and capacity of each type of energy storage were determined. The results show that the selection of a reasonable scheme can minimize the capacity allocation cost of a regional grid hybrid energy storage power station. Taking the 250 MW regional power grid as an example, a regional frequency regulation model was established, and the frequency regulation simulation and hybrid energy storage power station capacity configuration were carried out on the regional power grid disturbed by continuous load, verifying the rationality of the proposed capacity allocation method and providing certain reference significance for the capacity configuration of a hybrid energy storage power station.
format Article in Journal/Newspaper
author Hongtu Zhang
Xinyan Zhang
Zhilei Wang
Guangyu He
Ku Cui
Xianlan Wang
author_facet Hongtu Zhang
Xinyan Zhang
Zhilei Wang
Guangyu He
Ku Cui
Xianlan Wang
author_sort Hongtu Zhang
title Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation
title_short Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation
title_full Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation
title_fullStr Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation
title_full_unstemmed Capacity Configuration of Hybrid Energy Storage Power Stations Participating in Power Grid Frequency Modulation
title_sort capacity configuration of hybrid energy storage power stations participating in power grid frequency modulation
publisher MDPI AG
publishDate 2023
url https://doi.org/10.3390/pr11102843
https://doaj.org/article/5f42bbea5cbd41f1a9fa2d27c77738f7
genre Northern Goshawk
genre_facet Northern Goshawk
op_source Processes, Vol 11, Iss 2843, p 2843 (2023)
op_relation https://www.mdpi.com/2227-9717/11/10/2843
https://doaj.org/toc/2227-9717
doi:10.3390/pr11102843
2227-9717
https://doaj.org/article/5f42bbea5cbd41f1a9fa2d27c77738f7
op_doi https://doi.org/10.3390/pr11102843
container_title Processes
container_volume 11
container_issue 10
container_start_page 2843
_version_ 1782338104241160192