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 inIEEE transactions on industry applications Vol. 57; no. 1; pp. 70 - 82
Main Authors Lu, Xi, Yin, Hao, Xia, Shiwei, Zhang, Dongying, Shahidehpour, Mohammad, Zhang, Xian, Ding, Tao
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN0093-9994
1939-9367
DOI10.1109/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.
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
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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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