Distributed optimal power flow for smart grid transmission system with renewable energy sources

Utilizing renewable energy sources to reduce carbon emission and minimizing the fuel cost for energy saving in the OPF (optimal power flow) problem will contribute to reducing the global warming effect from the power generation sector. In this paper, we propose a DPOPF (distributed and parallel OPF)...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Energy (Oxford) Ročník 56; s. 184 - 192
Hlavní autoři: Lin, Shin-Yeu, Chen, Jyun-Fu
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.07.2013
Elsevier
Témata:
algorithms
Applied sciences
carbon
Computational synchronization
Distributed and parallel computation
Energy
energy conservation
energy costs
Exact sciences and technology
global warming
Optimal power flow
Petri net
power generation
Renewable energy source
renewable energy sources
Smart grid
Computational synchronization
Distributed and parallel computation
Renewable energy source
Optimal power flow
Smart grid
Petri net
Energy source
Electric energy transportation
Renewable energy
ISSN:0360-5442
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Utilizing renewable energy sources to reduce carbon emission and minimizing the fuel cost for energy saving in the OPF (optimal power flow) problem will contribute to reducing the global warming effect from the power generation sector. In this paper, we propose a DPOPF (distributed and parallel OPF) algorithm for the smart grid transmission system with renewable energy sources to account for the fast variation of the power generated by renewable energy sources. The proposed DPOPF algorithm is a combination of the recursive quadratic programming method and the Lagrange projected gradient method; it can achieve the complete decomposition and can be executed in the smart grid transmission system to make distributed and parallel computation possible. We also propose Petri nets to control the computational synchronization of the DPOPF algorithm under the asynchronous data arrival in the smart grid transmission system. The proposed DPOPF algorithm is applied to solve OPF problems in a smart grid transmission system with renewable energy sources on a 26-bus test system. The test results demonstrate the computational efficiency of the proposed DPOPF algorithm, which is fast enough to cope with the fast variation of the power generated by renewable energy sources, and justify the accuracy of the obtained solutions. •Distributed optimal power flow (DOPF) algorithm for smart grid with renewable energy sources.•DOPF algorithm achieves distributed and parallel computation.•DOPF algorithm is executed in smart grid to exploit its great computing and communication power.•Petri net model controls the computational synchronization of DOPF algorithm in smart grid.•Speed up factor of DOPF algorithm vs. COPF algorithm is 55 times in single PC and 2000 times, ideally.
Bibliografie:http://dx.doi.org/10.1016/j.energy.2013.04.011
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0360-5442
DOI:10.1016/j.energy.2013.04.011