Paper Info
Title
A Robust Decentralized Power Flow Optimization for Dynamic PV System.
Abstract
This paper proposes a robust scheme for optimizing the power flow in a photovoltaic system. The scheme utilizes distributed saddle point dynamics and a decentralized approach to solve the power flow problem. It converts the convex optimization problem of the dynamic system control into the asymptotically stable dynamic systems and employs a linear approximation of power flow equations; speciflcally, a quadratic programming model is deployed with the aim of minimizing real-power losses to guarantee a globally optimal solution. Then, the photovoltaic inverters and electric networks are analyzed independently in a decentralized manner to exchange injection power among nodes while maintaining their independence to support the plug-and-play feature. A case study and the experimental results show that the proposed scheme achieves higher optimization accuracy and are more economical than the existing state-of-the-art schemes.
Year
DOI
Venue
2019
10.1109/ACCESS.2019.2916974
IEEE ACCESS
Keywords
Field
DocType
Renewable energy,power flow optimization,real-time control,photovoltaic system,linearization
Linear approximation,Mathematical optimization,Saddle point,Computer science,Control system,Quadratic programming,Photovoltaic system,Convex optimization,Dynamical system,Stability theory,Distributed computing
Journal
Volume
ISSN
Citations 
7
2169-3536
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Qais H. Alsafasfeh1103.63
Omar A. Saraereh2116.40
Imran M. Khan301.35
Bong Jun Choi425525.48