The design and dispatch strategy of renewable energy absorption facility on pelagic island

Suyang Ding; Xiangning Lin; Zhe Chen; Zhixun Wang; Zhengtian Li

doi:10.1016/j.ijepes.2019.105748

The design and dispatch strategy of renewable energy absorption facility on pelagic island

Suyang Ding, Xiangning Lin^*, Zhe Chen, Zhixun Wang, Zhengtian Li

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

3 Citations (Scopus)

Abstract

The peaceful development and utilization of pelagic island occupy vitally important position in the maritime development. For the rich resource islands that support the load center island by shipping, the efficient operation of off-shore renewable energy absorption facility (REAF) is of vital importance. Focusing on this issue, the hydrogen electrolyzer containing multiple energies (battery, hydrogen and cool) is designed in this paper. This design promotes the energy absorption efficiency of REAF significantly. On the other hand, the flexible-size decision tree pruning (FSP) and improved reinforced learning Monte-Carlo method (IRLMCM) are proposed in this paper, and the hierarchical dispatch strategy of REAF based on the above algorithms is designed. Case studies show that the dispatch strategies of REAF proposed in this paper can improve the energy absorption ability significantly. At last, the possible improvement methods of the dispatch strategies of REAF are discussed in this paper.

Original language	English
Article number	105748
Journal	International Journal of Electrical Power and Energy Systems
Volume	118
ISSN	0142-0615
DOIs	https://doi.org/10.1016/j.ijepes.2019.105748
Publication status	Published - Jun 2020

Bibliographical note

Funding Information:
Project Supported by the National Natural Science Foundation of China (51537003); Guangxi Power Grid Corp ?The effects and countermeasures of Guangxi grid against large-scaled wind power integration?.

Publisher Copyright:
© 2019 Elsevier Ltd

Keywords

Decision tree pruning algorithm
Energy consumption
Hydrogen electrolyzer
Reinforcement learning Monte-Carlo method
Renewable energy

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title = "The design and dispatch strategy of renewable energy absorption facility on pelagic island",

abstract = "The peaceful development and utilization of pelagic island occupy vitally important position in the maritime development. For the rich resource islands that support the load center island by shipping, the efficient operation of off-shore renewable energy absorption facility (REAF) is of vital importance. Focusing on this issue, the hydrogen electrolyzer containing multiple energies (battery, hydrogen and cool) is designed in this paper. This design promotes the energy absorption efficiency of REAF significantly. On the other hand, the flexible-size decision tree pruning (FSP) and improved reinforced learning Monte-Carlo method (IRLMCM) are proposed in this paper, and the hierarchical dispatch strategy of REAF based on the above algorithms is designed. Case studies show that the dispatch strategies of REAF proposed in this paper can improve the energy absorption ability significantly. At last, the possible improvement methods of the dispatch strategies of REAF are discussed in this paper.",

keywords = "Decision tree pruning algorithm, Energy consumption, Hydrogen electrolyzer, Reinforcement learning Monte-Carlo method, Renewable energy",

author = "Suyang Ding and Xiangning Lin and Zhe Chen and Zhixun Wang and Zhengtian Li",

note = "Funding Information: Project Supported by the National Natural Science Foundation of China (51537003); Guangxi Power Grid Corp ?The effects and countermeasures of Guangxi grid against large-scaled wind power integration?. Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

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T1 - The design and dispatch strategy of renewable energy absorption facility on pelagic island

AU - Ding, Suyang

AU - Lin, Xiangning

AU - Chen, Zhe

AU - Wang, Zhixun

AU - Li, Zhengtian

N1 - Funding Information: Project Supported by the National Natural Science Foundation of China (51537003); Guangxi Power Grid Corp ?The effects and countermeasures of Guangxi grid against large-scaled wind power integration?. Publisher Copyright: © 2019 Elsevier Ltd

PY - 2020/6

Y1 - 2020/6

N2 - The peaceful development and utilization of pelagic island occupy vitally important position in the maritime development. For the rich resource islands that support the load center island by shipping, the efficient operation of off-shore renewable energy absorption facility (REAF) is of vital importance. Focusing on this issue, the hydrogen electrolyzer containing multiple energies (battery, hydrogen and cool) is designed in this paper. This design promotes the energy absorption efficiency of REAF significantly. On the other hand, the flexible-size decision tree pruning (FSP) and improved reinforced learning Monte-Carlo method (IRLMCM) are proposed in this paper, and the hierarchical dispatch strategy of REAF based on the above algorithms is designed. Case studies show that the dispatch strategies of REAF proposed in this paper can improve the energy absorption ability significantly. At last, the possible improvement methods of the dispatch strategies of REAF are discussed in this paper.

AB - The peaceful development and utilization of pelagic island occupy vitally important position in the maritime development. For the rich resource islands that support the load center island by shipping, the efficient operation of off-shore renewable energy absorption facility (REAF) is of vital importance. Focusing on this issue, the hydrogen electrolyzer containing multiple energies (battery, hydrogen and cool) is designed in this paper. This design promotes the energy absorption efficiency of REAF significantly. On the other hand, the flexible-size decision tree pruning (FSP) and improved reinforced learning Monte-Carlo method (IRLMCM) are proposed in this paper, and the hierarchical dispatch strategy of REAF based on the above algorithms is designed. Case studies show that the dispatch strategies of REAF proposed in this paper can improve the energy absorption ability significantly. At last, the possible improvement methods of the dispatch strategies of REAF are discussed in this paper.

KW - Decision tree pruning algorithm

KW - Energy consumption

KW - Hydrogen electrolyzer

KW - Reinforcement learning Monte-Carlo method

KW - Renewable energy

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DO - 10.1016/j.ijepes.2019.105748

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SN - 0142-0615

VL - 118

JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

M1 - 105748

ER -

The design and dispatch strategy of renewable energy absorption facility on pelagic island

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Bibliographical note

Keywords

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