Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation

Yubin Jia; Changyin Sun

doi:10.23919/ChiCC.2017.8028091

Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation

Yubin Jia
, Changyin Sun

Southeast University, Nanjing
Key Lab of the Ministry of Education for Process Control and Efficiency Egineering

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 modern power system, renewable energy (e.g., wind and solar energy) is an essential part of the smart grid. The problem of the fluctuate output of renewable energy generation and cooperation with traditional energy generation present significant challenges to the automatic generation control (AGC) in future smart grid. This paper presents a distributed model of AGC that contains thermal, hydro and wind-solar power generation. Based on this model, we formulate a distributed model predictive control (DMPC) problem and propose a quadratic programming (QP) based approach to solve it. The performance of the proposed method is demonstrated through simulations.

源语言	英语
主期刊名	Proceedings of the 36th Chinese Control Conference, CCC 2017
编辑	Tao Liu, Qianchuan Zhao
出版商	IEEE Computer Society
页	4676-4681
页数	6
ISBN（电子版）	9789881563934
DOI	https://doi.org/10.23919/ChiCC.2017.8028091
出版状态	已出版 - 7 9月 2017
已对外发布	是
活动	36th Chinese Control Conference, CCC 2017 - Dalian, 中国期限: 26 7月 2017 → 28 7月 2017

出版系列

姓名	Chinese Control Conference, CCC
ISSN（印刷版）	1934-1768
ISSN（电子版）	2161-2927

会议

会议	36th Chinese Control Conference, CCC 2017
国家/地区	中国
市	Dalian
时期	26/07/17 → 28/07/17

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

10.23919/ChiCC.2017.8028091

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{6475b8e0752441d081e9b5a17ae3912a,

title = "Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation",

abstract = "In modern power system, renewable energy (e.g., wind and solar energy) is an essential part of the smart grid. The problem of the fluctuate output of renewable energy generation and cooperation with traditional energy generation present significant challenges to the automatic generation control (AGC) in future smart grid. This paper presents a distributed model of AGC that contains thermal, hydro and wind-solar power generation. Based on this model, we formulate a distributed model predictive control (DMPC) problem and propose a quadratic programming (QP) based approach to solve it. The performance of the proposed method is demonstrated through simulations.",

keywords = "Distributed model predictive control, automatic generation control, wind and solar generation system",

author = "Yubin Jia and Changyin Sun",

note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",

year = "2017",

month = sep,

day = "7",

doi = "10.23919/ChiCC.2017.8028091",

language = "英语",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "4676--4681",

editor = "Tao Liu and Qianchuan Zhao",

booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",

}

Jia, Y & Sun, C 2017, Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation. 在 T Liu & Q Zhao (编辑), Proceedings of the 36th Chinese Control Conference, CCC 2017., 8028091, Chinese Control Conference, CCC, IEEE Computer Society, 页码 4676-4681, 36th Chinese Control Conference, CCC 2017, Dalian, 中国, 26/07/17. https://doi.org/10.23919/ChiCC.2017.8028091

Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation. / Jia, Yubin; Sun, Changyin.
Proceedings of the 36th Chinese Control Conference, CCC 2017. 编辑 / Tao Liu; Qianchuan Zhao. IEEE Computer Society, 2017. 页码 4676-4681 8028091 (Chinese Control Conference, CCC).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation

AU - Jia, Yubin

AU - Sun, Changyin

PY - 2017/9/7

Y1 - 2017/9/7

N2 - In modern power system, renewable energy (e.g., wind and solar energy) is an essential part of the smart grid. The problem of the fluctuate output of renewable energy generation and cooperation with traditional energy generation present significant challenges to the automatic generation control (AGC) in future smart grid. This paper presents a distributed model of AGC that contains thermal, hydro and wind-solar power generation. Based on this model, we formulate a distributed model predictive control (DMPC) problem and propose a quadratic programming (QP) based approach to solve it. The performance of the proposed method is demonstrated through simulations.

AB - In modern power system, renewable energy (e.g., wind and solar energy) is an essential part of the smart grid. The problem of the fluctuate output of renewable energy generation and cooperation with traditional energy generation present significant challenges to the automatic generation control (AGC) in future smart grid. This paper presents a distributed model of AGC that contains thermal, hydro and wind-solar power generation. Based on this model, we formulate a distributed model predictive control (DMPC) problem and propose a quadratic programming (QP) based approach to solve it. The performance of the proposed method is demonstrated through simulations.

KW - Distributed model predictive control

KW - automatic generation control

KW - wind and solar generation system

UR - https://www.scopus.com/pages/publications/85032194411

U2 - 10.23919/ChiCC.2017.8028091

DO - 10.23919/ChiCC.2017.8028091

M3 - 会议稿件

AN - SCOPUS:85032194411

T3 - Chinese Control Conference, CCC

SP - 4676

EP - 4681

BT - Proceedings of the 36th Chinese Control Conference, CCC 2017

A2 - Liu, Tao

A2 - Zhao, Qianchuan

PB - IEEE Computer Society

T2 - 36th Chinese Control Conference, CCC 2017

Y2 - 26 July 2017 through 28 July 2017

ER -

Distributed MPC with application to AGC of power system with wind-photovoltaic hybrid generation

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此