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

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

3 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 36th Chinese Control Conference, CCC 2017
Editors	Tao Liu, Qianchuan Zhao
Publisher	IEEE Computer Society
Pages	4676-4681
Number of pages	6
ISBN (Electronic)	9789881563934
DOIs	https://doi.org/10.23919/ChiCC.2017.8028091
State	Published - 7 Sep 2017
Externally published	Yes
Event	36th Chinese Control Conference, CCC 2017 - Dalian, China Duration: 26 Jul 2017 → 28 Jul 2017

Publication series

Name	Chinese Control Conference, CCC
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	36th Chinese Control Conference, CCC 2017
Country/Territory	China
City	Dalian
Period	26/07/17 → 28/07/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Distributed model predictive control
automatic generation control
wind and solar generation system

Access to Document

10.23919/ChiCC.2017.8028091

Cite this

@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. in T Liu & Q Zhao (eds), Proceedings of the 36th Chinese Control Conference, CCC 2017., 8028091, Chinese Control Conference, CCC, IEEE Computer Society, pp. 4676-4681, 36th Chinese Control Conference, CCC 2017, Dalian, China, 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. ed. / Tao Liu; Qianchuan Zhao. IEEE Computer Society, 2017. p. 4676-4681 8028091 (Chinese Control Conference, CCC).

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

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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