Optimal self-healing strategy for microgrid islanding

Sun, Wei; Ma, Shanshan; Alvarez‐Fernandez, Inalvis; Roofegari nejad, Reza; Golshani, Amir

doi:10.1049/iet-stg.2018.0057

Optimal self-healing strategy for microgrid islanding

Journal Article · Tue Oct 23 00:00:00 EDT 2018 · IET Smart Grid

DOI:https://doi.org/10.1049/iet-stg.2018.0057· OSTI ID:1820536

Sun, Wei ^[1]; Ma, Shanshan ^[2]; Alvarez‐Fernandez, Inalvis ^[3]; Roofegari nejad, Reza ^[3]; Golshani, Amir ^[3]

Univ. of Central Florida, Orlando, FL (United States); University of Central Florida
Iowa State Univ., Ames, IA (United States)
Univ. of Central Florida, Orlando, FL (United States)

Renewable resource based microgrids provide reliable and cost-effective electricity with low carbon emissions. The flexibility of operating in grid-connected or islanded modes enables a microgrid to serve loads reliably. In the case of unexpected events happening to the main grid, the microgrid will isolate itself and operate in islanded mode to prevent any adversary impacts. The availability of renewable generation in the microgrid has significant impacts on the islanding strategy and different scenarios need to be considered. This study proposes a comprehensive microgrid self-healing strategy under different circumstances. The proposed strategy encompasses generation re-dispatch, network reconfiguration, and load shedding. The microgrid self-healing problem is formulated as a mixed-integer quadratic programming problem, which provides a globally optimal solution to facilitate smooth islanding of the microgrid. A modified Consortium for Electric Reliability Technology Solutions microgrid is used to conduct simulation under various scenarios. The simulation results demonstrate the efficiency of the proposed self-healing strategy in minimising costs of load shedding and generation with optimal switching actions.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Central Florida, Orlando, FL (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: EE0007998

OSTI ID:: 1820536

Journal Information:: IET Smart Grid, Journal Name: IET Smart Grid Journal Issue: 4 Vol. 1; ISSN 2515-2947

Publisher:: The Institution of Engineering and TechnologyCopyright Statement

Country of Publication:: United States

Language:: English

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