Multi-period OPF with energy storages and renewable sources: A parallel moment approach

Chao Duan; Lin Jiang; Wanliang Fang; Jun Liu

doi:10.1109/PESGM.2016.7741519

Multi-period OPF with energy storages and renewable sources: A parallel moment approach

Chao Duan
, Lin Jiang
, Wanliang Fang
, Jun Liu

Xiłn Jiaotong University
University of Liverpool

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

9 Scopus citations

Abstract

Multi-period optimal power flow (OPF) is a basic tool to achieve optimal operation of a power system with energy storages devices and renewable sources. A novel convex relaxation based decomposeition algorithm is proposed in this paper to solve the full AC multi-period OPF with energy storages and renewable sources. Based on alternating direction method of multipliers (ADMM), the original time-correlated non-convex optimization problem is decomposed into two subproblems. The first subproblem is non-convex and separable among different time slots. Moment relaxation can be constructed and solved for each time slot in parallel. The second subproblem is a convex quadratic program (QP) and separable among different buses, which can be solved in parallel by standard interior point (IPM) solver. Case study on a benchmark system demonstrates the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741519
State	Published - 10 Nov 2016
Externally published	Yes
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Country/Territory	United States
City	Boston
Period	17/07/16 → 21/07/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Alternating direction method of multipliers
Correlative sparsity
Energy Storage
Moment relaxation
Optimal power flow
Polynomial optimization
Renewable Energy

Access to Document

10.1109/PESGM.2016.7741519

Cite this

@inproceedings{3a5c9a18cdef4c42a3cb244a20536a34,

title = "Multi-period OPF with energy storages and renewable sources: A parallel moment approach",

abstract = "Multi-period optimal power flow (OPF) is a basic tool to achieve optimal operation of a power system with energy storages devices and renewable sources. A novel convex relaxation based decomposeition algorithm is proposed in this paper to solve the full AC multi-period OPF with energy storages and renewable sources. Based on alternating direction method of multipliers (ADMM), the original time-correlated non-convex optimization problem is decomposed into two subproblems. The first subproblem is non-convex and separable among different time slots. Moment relaxation can be constructed and solved for each time slot in parallel. The second subproblem is a convex quadratic program (QP) and separable among different buses, which can be solved in parallel by standard interior point (IPM) solver. Case study on a benchmark system demonstrates the effectiveness of the proposed algorithm.",

keywords = "Alternating direction method of multipliers, Correlative sparsity, Energy Storage, Moment relaxation, Optimal power flow, Polynomial optimization, Renewable Energy",

author = "Chao Duan and Lin Jiang and Wanliang Fang and Jun Liu",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 ; Conference date: 17-07-2016 Through 21-07-2016",

year = "2016",

month = nov,

day = "10",

doi = "10.1109/PESGM.2016.7741519",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2016 IEEE Power and Energy Society General Meeting, PESGM 2016",

}

Duan, C, Jiang, L, Fang, W & Liu, J 2016, Multi-period OPF with energy storages and renewable sources: A parallel moment approach. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016., 7741519, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741519

Multi-period OPF with energy storages and renewable sources: A parallel moment approach. / Duan, Chao; Jiang, Lin; Fang, Wanliang et al.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. IEEE Computer Society, 2016. 7741519 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

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

TY - GEN

T1 - Multi-period OPF with energy storages and renewable sources

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

AU - Duan, Chao

AU - Jiang, Lin

AU - Fang, Wanliang

AU - Liu, Jun

PY - 2016/11/10

Y1 - 2016/11/10

N2 - Multi-period optimal power flow (OPF) is a basic tool to achieve optimal operation of a power system with energy storages devices and renewable sources. A novel convex relaxation based decomposeition algorithm is proposed in this paper to solve the full AC multi-period OPF with energy storages and renewable sources. Based on alternating direction method of multipliers (ADMM), the original time-correlated non-convex optimization problem is decomposed into two subproblems. The first subproblem is non-convex and separable among different time slots. Moment relaxation can be constructed and solved for each time slot in parallel. The second subproblem is a convex quadratic program (QP) and separable among different buses, which can be solved in parallel by standard interior point (IPM) solver. Case study on a benchmark system demonstrates the effectiveness of the proposed algorithm.

AB - Multi-period optimal power flow (OPF) is a basic tool to achieve optimal operation of a power system with energy storages devices and renewable sources. A novel convex relaxation based decomposeition algorithm is proposed in this paper to solve the full AC multi-period OPF with energy storages and renewable sources. Based on alternating direction method of multipliers (ADMM), the original time-correlated non-convex optimization problem is decomposed into two subproblems. The first subproblem is non-convex and separable among different time slots. Moment relaxation can be constructed and solved for each time slot in parallel. The second subproblem is a convex quadratic program (QP) and separable among different buses, which can be solved in parallel by standard interior point (IPM) solver. Case study on a benchmark system demonstrates the effectiveness of the proposed algorithm.

KW - Alternating direction method of multipliers

KW - Correlative sparsity

KW - Energy Storage

KW - Moment relaxation

KW - Optimal power flow

KW - Polynomial optimization

KW - Renewable Energy

UR - https://www.scopus.com/pages/publications/85001889532

U2 - 10.1109/PESGM.2016.7741519

DO - 10.1109/PESGM.2016.7741519

M3 - 会议稿件

AN - SCOPUS:85001889532

T3 - IEEE Power and Energy Society General Meeting

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

Y2 - 17 July 2016 through 21 July 2016

ER -

Multi-period OPF with energy storages and renewable sources: A parallel moment approach

Abstract

Publication series

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UN SDGs

Keywords

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