A Robust Decentralized Power Flow Optimization for Dynamic PV System
- Authors
- Alsafasfeh, Q.; Saraereh, O.A.; Khan, I.; Choi, B.J.
- Issue Date
- May-2019
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- linearization; photovoltaic system; power flow optimization; real-time control; Renewable energy
- Citation
- IEEE Access, v.7, pp.63789 - 63800
- Journal Title
- IEEE Access
- Volume
- 7
- Start Page
- 63789
- End Page
- 63800
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/39039
- DOI
- 10.1109/ACCESS.2019.2916974
- ISSN
- 2169-3536
- 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; specifically, 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. © 2013 IEEE.
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