Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm

Yuanzheng Li; Yong Zhao; Lei Wu; Zhigang Zeng

doi:10.1007/978-981-99-0799-1_10

Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm

Yuanzheng Li
, Yong Zhao
, Lei Wu
, Zhigang Zeng

Department of Electrical and Computer Engineering

Huazhong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In recent years, energy and environmental crises have been significant obstacles to the sustainable development of our society. In order to lessen these crises, renewable energy (RE) has been paid more attention to and utilized widely worldwide.

Original language	English
Title of host publication	Engineering Applications of Computational Methods
Pages	209-229
Number of pages	21
DOIs	https://doi.org/10.1007/978-981-99-0799-1_10
State	Published - 2023

Publication series

Name	Engineering Applications of Computational Methods
Volume	14
ISSN (Print)	2662-3366
ISSN (Electronic)	2662-3374

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1007/978-981-99-0799-1_10

Cite this

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title = "Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm",

abstract = "In recent years, energy and environmental crises have been significant obstacles to the sustainable development of our society. In order to lessen these crises, renewable energy (RE) has been paid more attention to and utilized widely worldwide.",

author = "Yuanzheng Li and Yong Zhao and Lei Wu and Zhigang Zeng",

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doi = "10.1007/978-981-99-0799-1\_10",

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Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm. / Li, Yuanzheng; Zhao, Yong; Wu, Lei et al.
Engineering Applications of Computational Methods. 2023. p. 209-229 (Engineering Applications of Computational Methods; Vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm

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AU - Zhao, Yong

AU - Wu, Lei

AU - Zeng, Zhigang

PY - 2023

Y1 - 2023

N2 - In recent years, energy and environmental crises have been significant obstacles to the sustainable development of our society. In order to lessen these crises, renewable energy (RE) has been paid more attention to and utilized widely worldwide.

AB - In recent years, energy and environmental crises have been significant obstacles to the sustainable development of our society. In order to lessen these crises, renewable energy (RE) has been paid more attention to and utilized widely worldwide.

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DO - 10.1007/978-981-99-0799-1_10

M3 - Chapter

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BT - Engineering Applications of Computational Methods

ER -

Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm

Abstract

Publication series

UN SDGs

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