A Real-Time Alternating Direction Method of Multipliers Algorithm for Nonconvex Optimal Power Flow Problem
The high penetration rate of smart devices such as storage elements brings new challenges to the optimal power flow (OPF) problem in power systems, which is generally nonconvex and difficult to be solved in real time. This article proposes a set of two fully distributed algorithms by combining the a...
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Published in | IEEE transactions on industry applications Vol. 57; no. 1; pp. 70 - 82 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 0093-9994 1939-9367 |
DOI | 10.1109/TIA.2020.3029549 |
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Abstract | The high penetration rate of smart devices such as storage elements brings new challenges to the optimal power flow (OPF) problem in power systems, which is generally nonconvex and difficult to be solved in real time. This article proposes a set of two fully distributed algorithms by combining the alternating direction method of multipliers and proximal alternating minimization techniques. The first one is a basic distributed algorithm for offline scheduling of 24-h ahead OPF. The other extended one is the warm-starting algorithm by using the offline scheduling solution as the initial point, and the warm-starting algorithm can get converged faster than the basic algorithm. Both algorithms aim to provide a highly feasible solution for the nonconvex OPF problem, and simulation conducted on four radial power systems with batteries has validated the performance of these two algorithms. |
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AbstractList | The high penetration rate of smart devices such as storage elements brings new challenges to the optimal power flow (OPF) problem in power systems, which is generally nonconvex and difficult to be solved in real time. This article proposes a set of two fully distributed algorithms by combining the alternating direction method of multipliers and proximal alternating minimization techniques. The first one is a basic distributed algorithm for offline scheduling of 24-h ahead OPF. The other extended one is the warm-starting algorithm by using the offline scheduling solution as the initial point, and the warm-starting algorithm can get converged faster than the basic algorithm. Both algorithms aim to provide a highly feasible solution for the nonconvex OPF problem, and simulation conducted on four radial power systems with batteries has validated the performance of these two algorithms. |
Author | Zhang, Xian Yin, Hao Ding, Tao Xia, Shiwei Zhang, Dongying Lu, Xi Shahidehpour, Mohammad |
Author_xml | – sequence: 1 givenname: Xi orcidid: 0000-0003-3297-5198 surname: Lu fullname: Lu, Xi email: harry.lu@connect.polyu.hk organization: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China – sequence: 2 givenname: Hao surname: Yin fullname: Yin, Hao email: h.yin@ncepu.edu.cn organization: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China – sequence: 3 givenname: Shiwei orcidid: 0000-0003-1272-210X surname: Xia fullname: Xia, Shiwei email: s.w.xia@ncepu.edu.cn organization: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China – sequence: 4 givenname: Dongying surname: Zhang fullname: Zhang, Dongying email: zdyingmail@163.com organization: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing, China – sequence: 5 givenname: Mohammad orcidid: 0000-0002-8994-1688 surname: Shahidehpour fullname: Shahidehpour, Mohammad email: ms@iit.edu organization: Illinois Institute of Technology, Chicago, IL, USA – sequence: 6 givenname: Xian orcidid: 0000-0002-9586-2345 surname: Zhang fullname: Zhang, Xian email: eexianzhang@outlook.com organization: School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China – sequence: 7 givenname: Tao orcidid: 0000-0002-7590-0172 surname: Ding fullname: Ding, Tao email: tding15@mail.xjtu.edu.cn organization: Department of Electrical Engineering, Xi'an Jiao Tong University, Xi'an, China |
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Snippet | The high penetration rate of smart devices such as storage elements brings new challenges to the optimal power flow (OPF) problem in power systems, which is... |
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SubjectTerms | Algorithms Alternating direction method of multipliers Basic converters Convex functions Distributed algorithms Electronic devices Load flow Minimization Multipliers optimal power flow (OPF) Optimization Power flow proximal alternating minimization Real time real-time operation Real-time systems Scheduling |
Title | A Real-Time Alternating Direction Method of Multipliers Algorithm for Nonconvex Optimal Power Flow Problem |
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