Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy

The efficiency of on-site consumption of new energy and the economy of dispatching strategy for that in modern microgrids are increasingly concerning, which are closely related to the microgrid control model with source-load uncertainty. To this end, this paper proposes the multiagent hierarchical I...

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Main Authors: Songsong Chen, Lutao Zhang, Ying Zhou, Ke Chen, Zhongdong Wang, Lihui Xie
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:International Transactions on Electrical Energy Systems
Online Access:http://dx.doi.org/10.1155/2023/6304877
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author Songsong Chen
Lutao Zhang
Ying Zhou
Ke Chen
Zhongdong Wang
Lihui Xie
author_facet Songsong Chen
Lutao Zhang
Ying Zhou
Ke Chen
Zhongdong Wang
Lihui Xie
author_sort Songsong Chen
collection DOAJ
description The efficiency of on-site consumption of new energy and the economy of dispatching strategy for that in modern microgrids are increasingly concerning, which are closely related to the microgrid control model with source-load uncertainty. To this end, this paper proposes the multiagent hierarchical IQ (λ)-HDQC regulation strategy to realize the source-load-storage-charging collaborative control of the microgrid model with high-permeable new energy. The first layer adopts the IQ (λ) strategy, which avoids the overestimation and underestimation problems of traditional reinforcement learning by the coupled estimation method. The second layer adopts the HDQC allocation strategy, which solves the problem of low utilization of new energy in the proportional allocation method and improves the adaptability of the regulation strategy in the complex stochastic environment. The interaction of the two-layer strategies realizes the source-network-load-storage-charge global dynamic interactive regulation of microgrids. Indicators of energy efficiency are constructed in this paper to measure the simulation results. And the superiority of the proposed strategy is verified through the simulation results of the microgrid system.
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institution Kabale University
issn 2050-7038
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series International Transactions on Electrical Energy Systems
spelling doaj-art-fc0fd8206af04ddab21fb03782902eca2025-02-03T06:47:16ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/6304877Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New EnergySongsong Chen0Lutao Zhang1Ying Zhou2Ke Chen3Zhongdong Wang4Lihui Xie5China Electric Power Research InstituteChina Electric Power Research InstituteChina Electric Power Research InstituteChina Electric Power Research InstituteState Grid Jiangsu Electric Power CoCollege of Electrical Engineering and New EnergyThe efficiency of on-site consumption of new energy and the economy of dispatching strategy for that in modern microgrids are increasingly concerning, which are closely related to the microgrid control model with source-load uncertainty. To this end, this paper proposes the multiagent hierarchical IQ (λ)-HDQC regulation strategy to realize the source-load-storage-charging collaborative control of the microgrid model with high-permeable new energy. The first layer adopts the IQ (λ) strategy, which avoids the overestimation and underestimation problems of traditional reinforcement learning by the coupled estimation method. The second layer adopts the HDQC allocation strategy, which solves the problem of low utilization of new energy in the proportional allocation method and improves the adaptability of the regulation strategy in the complex stochastic environment. The interaction of the two-layer strategies realizes the source-network-load-storage-charge global dynamic interactive regulation of microgrids. Indicators of energy efficiency are constructed in this paper to measure the simulation results. And the superiority of the proposed strategy is verified through the simulation results of the microgrid system.http://dx.doi.org/10.1155/2023/6304877
spellingShingle Songsong Chen
Lutao Zhang
Ying Zhou
Ke Chen
Zhongdong Wang
Lihui Xie
Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy
International Transactions on Electrical Energy Systems
title Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy
title_full Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy
title_fullStr Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy
title_full_unstemmed Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy
title_short Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy
title_sort research on flexible resource dynamic interactive regulation technology for microgrids with high permeable new energy
url http://dx.doi.org/10.1155/2023/6304877
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