Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm

Bo Feng; Hongyu Yang; Qingrun Yang; Tao Ding; Haixiang Zang

doi:10.1109/ISGT-Asia.2019.8881111

Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm

Bo Feng
, Hongyu Yang
, Qingrun Yang
, Tao Ding
, Haixiang Zang

电气工程学院

State Grid Lianyungang Electric Power Supply Company
Xi'an Jiaotong University
Hohai University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

In recent years, microgirds (MGs) have gained sustained attractions among the researches. The economic dispatch is one of the most important topics of the MGs. For the fast real-time dispatch, the number of time periods may become larger and the computational complexity will rapidly increase. To handle this issue, a parallel algorithm for the multi-period economic dispatch of the MGs is proposed in this paper, which can decompose the original problem into several small-scale sub-problems that can be efficiently solved in parallel. Moreover, the model is designed in a stochastic scheme to handle the uncertainty of renewable energy sources (RES) output. Case studies verify the effectiveness of the proposed parallel algorithm.

源语言	英语
主期刊名	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
出版商	Institute of Electrical and Electronics Engineers Inc.
页	3185-3189
页数	5
ISBN（电子版）	9781728135205
DOI	https://doi.org/10.1109/ISGT-Asia.2019.8881111
出版状态	已出版 - 5月 2019
活动	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 - Chengdu, 中国期限: 21 5月 2019 → 24 5月 2019

出版系列

姓名	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

会议

会议	2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019
国家/地区	中国
市	Chengdu
时期	21/05/19 → 24/05/19

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ISGT-Asia.2019.8881111

其它文件与链接

链接到 Scopus 的出版物

引用此

Feng, B., Yang, H., Yang, Q., Ding, T., & Zang, H. (2019). Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm. 在 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 (页码 3185-3189). 文章 8881111 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGT-Asia.2019.8881111

Feng, Bo ; Yang, Hongyu ; Yang, Qingrun 等. / Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm. 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 3185-3189 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019).

@inproceedings{14ec028bf2cb4089b2d6701b832d6bcf,

title = "Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm",

abstract = "In recent years, microgirds (MGs) have gained sustained attractions among the researches. The economic dispatch is one of the most important topics of the MGs. For the fast real-time dispatch, the number of time periods may become larger and the computational complexity will rapidly increase. To handle this issue, a parallel algorithm for the multi-period economic dispatch of the MGs is proposed in this paper, which can decompose the original problem into several small-scale sub-problems that can be efficiently solved in parallel. Moreover, the model is designed in a stochastic scheme to handle the uncertainty of renewable energy sources (RES) output. Case studies verify the effectiveness of the proposed parallel algorithm.",

keywords = "Economic dispatch, microgrid, parallel algorithm, stochastic method",

author = "Bo Feng and Hongyu Yang and Qingrun Yang and Tao Ding and Haixiang Zang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 ; Conference date: 21-05-2019 Through 24-05-2019",

year = "2019",

month = may,

doi = "10.1109/ISGT-Asia.2019.8881111",

language = "英语",

series = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "3185--3189",

booktitle = "2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019",

}

Feng, B, Yang, H, Yang, Q, Ding, T & Zang, H 2019, Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm. 在 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019., 8881111, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, Institute of Electrical and Electronics Engineers Inc., 页码 3185-3189, 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019, Chengdu, 中国, 21/05/19. https://doi.org/10.1109/ISGT-Asia.2019.8881111

Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm. / Feng, Bo; Yang, Hongyu; Yang, Qingrun 等.
2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 页码 3185-3189 8881111 (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm

AU - Feng, Bo

AU - Yang, Hongyu

AU - Yang, Qingrun

AU - Ding, Tao

AU - Zang, Haixiang

PY - 2019/5

Y1 - 2019/5

N2 - In recent years, microgirds (MGs) have gained sustained attractions among the researches. The economic dispatch is one of the most important topics of the MGs. For the fast real-time dispatch, the number of time periods may become larger and the computational complexity will rapidly increase. To handle this issue, a parallel algorithm for the multi-period economic dispatch of the MGs is proposed in this paper, which can decompose the original problem into several small-scale sub-problems that can be efficiently solved in parallel. Moreover, the model is designed in a stochastic scheme to handle the uncertainty of renewable energy sources (RES) output. Case studies verify the effectiveness of the proposed parallel algorithm.

AB - In recent years, microgirds (MGs) have gained sustained attractions among the researches. The economic dispatch is one of the most important topics of the MGs. For the fast real-time dispatch, the number of time periods may become larger and the computational complexity will rapidly increase. To handle this issue, a parallel algorithm for the multi-period economic dispatch of the MGs is proposed in this paper, which can decompose the original problem into several small-scale sub-problems that can be efficiently solved in parallel. Moreover, the model is designed in a stochastic scheme to handle the uncertainty of renewable energy sources (RES) output. Case studies verify the effectiveness of the proposed parallel algorithm.

KW - Economic dispatch

KW - microgrid

KW - parallel algorithm

KW - stochastic method

UR - https://www.scopus.com/pages/publications/85074924323

U2 - 10.1109/ISGT-Asia.2019.8881111

DO - 10.1109/ISGT-Asia.2019.8881111

M3 - 会议稿件

AN - SCOPUS:85074924323

T3 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

SP - 3185

EP - 3189

BT - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

Y2 - 21 May 2019 through 24 May 2019

ER -

Feng B, Yang H, Yang Q, Ding T, Zang H. Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm. 在 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 页码 3185-3189. 8881111. (2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019). doi: 10.1109/ISGT-Asia.2019.8881111

Multi-Period Stochastic Economic Dispatch of Microgrid Considering Renewable Energy Uncertainty Using Parallel Algorithm

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