Regularised primal–dual interior-point method for dynamic optimal power flow with block-angular structures

To implement privacy protection and high-efficiency distributed computing of the large-scale dynamic optimal power flow (DOPF) of the multi-area interconnected power system, the regularised term (RT) and primal–dual interior-point method (PDIPM), denoted by R-PDIPM, is proposed to distribute and par...

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Vydáno v:IET generation, transmission & distribution Ročník 14; číslo 9; s. 1694 - 1704
Hlavní autoři: Zhang, Chen, Jian, Jinbao, Yang, Linfeng
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 11.05.2020
Témata:
3012 node systems
3074 node systems
block matrix
block‐angular structures
convex programming
coupling node variables
data privacy
distributed calculation
DOPF solutions
high‐efficiency distributed computing
large‐scale dynamic optimal power flow
load flow
multiarea decoupling
multiarea interconnected power system
multiarea power system
Newton method
Newton's system
optimisation
power grid
power grids
power system interconnection
primal–dual interior‐point method
prime block‐angular problem
privacy protection
regularised term
Research Article
R‐PDIPM
3012 node systems
Newton's system
R-PDIPM
distributed calculation
block matrix
power grid
large-scale dynamic optimal power flow
optimisation
power system interconnection
prime block-angular problem
regularised term
high-efficiency distributed computing
power grids
Newton method
multiarea power system
multiarea decoupling
multiarea interconnected power system
3074 node systems
convex programming
coupling node variables
block-angular structures
DOPF solutions
privacy protection
data privacy
load flow
primal–dual interior-point method
ISSN:1751-8687, 1751-8695
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Popis
Shrnutí:To implement privacy protection and high-efficiency distributed computing of the large-scale dynamic optimal power flow (DOPF) of the multi-area interconnected power system, the regularised term (RT) and primal–dual interior-point method (PDIPM), denoted by R-PDIPM, is proposed to distribute and parallel such DOPF solutions. First, the DOPF is transformed into a prime block-angular problem through the replication of the coupling node variables, and the multi-area decoupling of the power grid is realised. However, it is easier to develop a singular (ill-conditioned) block matrix of Newton's system under the distributed computing of PDIPM. Second, though introducing the RT into the Lagrangian function of PDIPM based on regular technology, the matrix of Newton's system becomes quasi-definite and strongly factorisable. The robustness of distributed computing of PDIPM is enhanced, and the convergence speed is also improved. Case studies on the 3012 and 3074 node systems over 2–4 time intervals are presented. The results show that the R-PDIPM is more robust in efficiently solving the problem than PDIPM in distributed computing, which is suited for distributed calculation of DOPF in a large-scale multi-area power system.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2019.1528