An Improved Dynamic Programming-Based Decentralized Algorithm for AC-OPF of Radially Connected Multi-Level Networks

In this paper, an improved dynamic programming (IDP)-based decentralized algorithm is proposed for the AC-optimal power flow (AC-OPF) of radially connected transmission-distribution-microgrid networks (RCTDMNs). Most of the existing decentralized algorithms need to iterate among networks, which may...

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Vydané v:IEEE transactions on power systems Ročník 38; číslo 2; s. 1460 - 1473
Hlavní autori: Chen, Jiajun, Zhu, Jianquan, Ye, Hanfang, Wang, Zeshuang, Zeng, Kai, Liu, Haixin, Liu, Mingbo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
AC-OPF
Algorithms
Approximation algorithms
Convergence
decentralized optimization
Distributed generation
Dynamic programming
Heuristic algorithms
Improved dynamic programming
Iterative methods
Load flow
Networks
Power flow
radially connected networks
Reactive power
System effectiveness
Voltage
ISSN:0885-8950, 1558-0679
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Shrnutí:In this paper, an improved dynamic programming (IDP)-based decentralized algorithm is proposed for the AC-optimal power flow (AC-OPF) of radially connected transmission-distribution-microgrid networks (RCTDMNs). Most of the existing decentralized algorithms need to iterate among networks, which may lead to additional computational and information exchange burden. Different from these algorithms, we decompose the original AC-OPF problem into small-scale subproblems based on dynamic programming (DP) theory, and then solve them in a decentralized manner without iteration among networks. In order to improve the computational performance of DP, its value functions are directly obtained by solving Galerkin projection equations (GPEs) instead of traversing the whole state space. Moreover, a parallel technique is proposed to further accelerate the proposed IDP algorithm when dealing with the AC-OPF problem of RCTDMNs. Case studies on various test systems demonstrate the effectiveness of the proposed method.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2022.3176052