Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm

As demands on smoothing the output fluctuation of offshore wind power increase, this paper proposes an optimal configuration method for offshore wind power storage. The wavelet packet decomposition algorithm is used to process the output curve of the wind power, and an annual power response curve of...

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Main Authors: Jingui YI, Ziwei ZHU, Qing XIE
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2022-12-01
Series:Zhongguo dianli
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Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202201065
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author Jingui YI
Ziwei ZHU
Qing XIE
author_facet Jingui YI
Ziwei ZHU
Qing XIE
author_sort Jingui YI
collection DOAJ
description As demands on smoothing the output fluctuation of offshore wind power increase, this paper proposes an optimal configuration method for offshore wind power storage. The wavelet packet decomposition algorithm is used to process the output curve of the wind power, and an annual power response curve of the power storage system is obtained. In addition, the paper adopts an improved scene clustering algorithm combining a cloud model with a fuzzy c-means clustering algorithm to aggregate the annual power response curve and generate typical scenes of the power response. Furthermore, to minimize the annual comprehensive cost of the power storage, the paper constructs an optimal configuration model for offshore wind power storage and uses the particle swarm optimization algorithm to solve the optimal configuration model. Finally, the proposed method and model are analyzed and verified by typical examples. The results show that the proposed model and method can comprehensively consider the actual operating characteristics of the power storage system on the side of offshore wind farms and effectively guide the power storage configuration and construction planning of offshore wind farms.
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issn 1004-9649
language zho
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publisher State Grid Energy Research Institute
record_format Article
series Zhongguo dianli
spelling doaj-art-e9c4ef3ce20748ffa2d578d21c588c112025-08-20T02:47:52ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-12-01551221010.11930/j.issn.1004-9649.202201065zgdl-55-10-yijinguiResearch on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering AlgorithmJingui YI0Ziwei ZHU1Qing XIE2School of Information Engineering, Nanchang University, Nanchang 330031, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330031, ChinaSchool of Information Engineering, Nanchang University, Nanchang 330031, ChinaAs demands on smoothing the output fluctuation of offshore wind power increase, this paper proposes an optimal configuration method for offshore wind power storage. The wavelet packet decomposition algorithm is used to process the output curve of the wind power, and an annual power response curve of the power storage system is obtained. In addition, the paper adopts an improved scene clustering algorithm combining a cloud model with a fuzzy c-means clustering algorithm to aggregate the annual power response curve and generate typical scenes of the power response. Furthermore, to minimize the annual comprehensive cost of the power storage, the paper constructs an optimal configuration model for offshore wind power storage and uses the particle swarm optimization algorithm to solve the optimal configuration model. Finally, the proposed method and model are analyzed and verified by typical examples. The results show that the proposed model and method can comprehensively consider the actual operating characteristics of the power storage system on the side of offshore wind farms and effectively guide the power storage configuration and construction planning of offshore wind farms.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202201065offshore wind powerwavelet packet decompositionscene clusteringparticle swarm optimization algorithmenergy storage configuration
spellingShingle Jingui YI
Ziwei ZHU
Qing XIE
Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm
Zhongguo dianli
offshore wind power
wavelet packet decomposition
scene clustering
particle swarm optimization algorithm
energy storage configuration
title Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm
title_full Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm
title_fullStr Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm
title_full_unstemmed Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm
title_short Research on Optimal Configuration of Offshore Wind Power Energy Storage Based on Improved Scene Clustering Algorithm
title_sort research on optimal configuration of offshore wind power energy storage based on improved scene clustering algorithm
topic offshore wind power
wavelet packet decomposition
scene clustering
particle swarm optimization algorithm
energy storage configuration
url https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202201065
work_keys_str_mv AT jinguiyi researchonoptimalconfigurationofoffshorewindpowerenergystoragebasedonimprovedsceneclusteringalgorithm
AT ziweizhu researchonoptimalconfigurationofoffshorewindpowerenergystoragebasedonimprovedsceneclusteringalgorithm
AT qingxie researchonoptimalconfigurationofoffshorewindpowerenergystoragebasedonimprovedsceneclusteringalgorithm