Iterative Distributed MPC for Power Dispatching Problem in Smart Grid

Zhiwen Qiang; Li Dai; Yuanqing Xia

doi:10.1109/CAC.2018.8623649

Iterative Distributed MPC for Power Dispatching Problem in Smart Grid

Zhiwen Qiang
, Li Dai
, Yuanqing Xia

School of Automation

Beijing Institute of Technology

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

Abstract

This paper considers a power dispatching problem in a smart grid, which consists of one generator and n loads and is subject to several physical constraints. To maximize the social benefit, we first develop a distributed gradient algorithm to compute the optimal stable states. Then a computationally convenient distributed model predictive control (DMPC) algorithm is proposed to stabilize the smart grid into a small neighborhood of the optimal stable states. The closed loop system is guaranteed to satisfy the constraints and achieve the social benefit maximization. Numerical examples are given to illustrate the performance of the designed schemes.

Original language	English
Title of host publication	Proceedings 2018 Chinese Automation Congress, CAC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	913-918
Number of pages	6
ISBN (Electronic)	9781728113128
DOIs	https://doi.org/10.1109/CAC.2018.8623649
Publication status	Published - 2 Jul 2018
Event	2018 Chinese Automation Congress, CAC 2018 - Xi'an, China Duration: 30 Nov 2018 → 2 Dec 2018

Publication series

Name	Proceedings 2018 Chinese Automation Congress, CAC 2018

Conference

Conference	2018 Chinese Automation Congress, CAC 2018
Country/Territory	China
City	Xi'an
Period	30/11/18 → 2/12/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

distributed control
model predictive control
power dispatching problem
smart grid

Access to Document

10.1109/CAC.2018.8623649

Cite this

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title = "Iterative Distributed MPC for Power Dispatching Problem in Smart Grid",

abstract = "This paper considers a power dispatching problem in a smart grid, which consists of one generator and n loads and is subject to several physical constraints. To maximize the social benefit, we first develop a distributed gradient algorithm to compute the optimal stable states. Then a computationally convenient distributed model predictive control (DMPC) algorithm is proposed to stabilize the smart grid into a small neighborhood of the optimal stable states. The closed loop system is guaranteed to satisfy the constraints and achieve the social benefit maximization. Numerical examples are given to illustrate the performance of the designed schemes.",

keywords = "distributed control, model predictive control, power dispatching problem, smart grid",

author = "Zhiwen Qiang and Li Dai and Yuanqing Xia",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 Chinese Automation Congress, CAC 2018 ; Conference date: 30-11-2018 Through 02-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/CAC.2018.8623649",

language = "English",

series = "Proceedings 2018 Chinese Automation Congress, CAC 2018",

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

pages = "913--918",

booktitle = "Proceedings 2018 Chinese Automation Congress, CAC 2018",

address = "United States",

}

Qiang, Z, Dai, L & Xia, Y 2018, Iterative Distributed MPC for Power Dispatching Problem in Smart Grid. in Proceedings 2018 Chinese Automation Congress, CAC 2018., 8623649, Proceedings 2018 Chinese Automation Congress, CAC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 913-918, 2018 Chinese Automation Congress, CAC 2018, Xi'an, China, 30/11/18. https://doi.org/10.1109/CAC.2018.8623649

Iterative Distributed MPC for Power Dispatching Problem in Smart Grid. / Qiang, Zhiwen; Dai, Li ; Xia, Yuanqing.
Proceedings 2018 Chinese Automation Congress, CAC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 913-918 8623649 (Proceedings 2018 Chinese Automation Congress, CAC 2018).

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

TY - GEN

T1 - Iterative Distributed MPC for Power Dispatching Problem in Smart Grid

AU - Qiang, Zhiwen

AU - Dai, Li

AU - Xia, Yuanqing

PY - 2018/7/2

Y1 - 2018/7/2

N2 - This paper considers a power dispatching problem in a smart grid, which consists of one generator and n loads and is subject to several physical constraints. To maximize the social benefit, we first develop a distributed gradient algorithm to compute the optimal stable states. Then a computationally convenient distributed model predictive control (DMPC) algorithm is proposed to stabilize the smart grid into a small neighborhood of the optimal stable states. The closed loop system is guaranteed to satisfy the constraints and achieve the social benefit maximization. Numerical examples are given to illustrate the performance of the designed schemes.

AB - This paper considers a power dispatching problem in a smart grid, which consists of one generator and n loads and is subject to several physical constraints. To maximize the social benefit, we first develop a distributed gradient algorithm to compute the optimal stable states. Then a computationally convenient distributed model predictive control (DMPC) algorithm is proposed to stabilize the smart grid into a small neighborhood of the optimal stable states. The closed loop system is guaranteed to satisfy the constraints and achieve the social benefit maximization. Numerical examples are given to illustrate the performance of the designed schemes.

KW - distributed control

KW - model predictive control

KW - power dispatching problem

KW - smart grid

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U2 - 10.1109/CAC.2018.8623649

DO - 10.1109/CAC.2018.8623649

M3 - Conference contribution

AN - SCOPUS:85062795452

T3 - Proceedings 2018 Chinese Automation Congress, CAC 2018

SP - 913

EP - 918

BT - Proceedings 2018 Chinese Automation Congress, CAC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 Chinese Automation Congress, CAC 2018

Y2 - 30 November 2018 through 2 December 2018

ER -

Iterative Distributed MPC for Power Dispatching Problem in Smart Grid

Abstract

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UN SDGs

Keywords

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