Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement

Liu, Guodong; Ollis, Thomas B.; Ferrari, Maximiliano F.; Sundararajan, Aditya; Tomsovic, Kevin

doi:10.3390/en15062249

Robust Scheduling of Networked Microgrids for Economics and Resilience Improvement

Journal Article · Sat Mar 19 00:00:00 EDT 2022 · Energies

DOI:https://doi.org/10.3390/en15062249· OSTI ID:1855872

Liu, Guodong; Ollis, Thomas B.; Ferrari, Maximiliano F.; Sundararajan, Aditya; Tomsovic, Kevin

The benefits of networked microgrids in terms of economics and resilience are investigated and validated in this work. Considering the stochastic unintentional islanding conditions and conventional forecast errors of both renewable generation and loads, a two-stage adaptive robust optimization is proposed to minimize the total operating cost of networked microgrids in the worst scenario of the modeled uncertainties. By coordinating the dispatch of distributed energy resources (DERs) and responsive demand among networked microgrids, the total operating cost is minimized, which includes the start-up and shut-down cost of distributed generators (DGs), the operation and maintenance (O&M) cost of DGs, the cost of buying/selling power from/to the utility grid, the degradation cost of energy storage systems (ESSs), and the cost associated with load shedding. The proposed optimization is solved with the column and constraint generation (C&CG) algorithm. The results of case studies demonstrate the advantages of networked microgrids over independent microgrids in terms of reducing total operating cost and improving the resilience of power supply.

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Sponsoring Organization:: USDOE

OSTI ID:: 1855872

Alternate ID(s):: OSTI ID: 1856682

Journal Information:: Energies, Journal Name: Energies Journal Issue: 6 Vol. 15; ISSN ENERGA; ISSN 1996-1073

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

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