Robust optimization of power grid with distributed generation and improved reliability

Uncertainties of demand, generation and component outage can lead to black-outs in the grid. This study proposes an optimization algorithm (based on Benders Decomposition (BD)) to optimize a Power Transmission System (PTS) that is robust to aforementioned uncertainties. The applicability of the proposed optimization algorithm is tested using IEEE 14-bus and 24-bus networks. The results of this study show that the novel optimization algorithm can improve the reliability by 23.92% (during extreme scenarios) by reorganizing the topology of the network. The proposed model can be extended and used to consider as a method to integrated micro-grids into the high-voltage grid. (C) 2019 The Authors. Published by Elsevier Ltd.


Publié dans:
Renewable Energy Integration With Mini/Microgrid, 159, 400-405
Présenté à:
Applied Energy Symposium and Summit - Renewable Energy Integration with Mini/Microgrid (REM), Rhodes, GREECE, Sep 28-30, 2018
Année
Jan 01 2019
Publisher:
Amsterdam, ELSEVIER SCIENCE BV
ISSN:
1876-6102
Mots-clefs:
Laboratoires:




 Notice créée le 2019-06-28, modifiée le 2019-12-05


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