Resilient Microgrid Control Experimental Results

Experimental scenarios evaluate a resilient distributed model predictive control framework for networked microgrids. The 5.5 KB Excel file contains results from a five-microgrid benchmark under communication failures and topology changes. Author Baheej Alghamdi published the data on figshare in April 2026.

Use Cases

• Compare relative performance metrics like energy not served (ENS) and cost increases between the proposed RDMPC and naive distributed MPC (B2) methods.
• Analyze the impact of demand response ablation on system performance using distinct models for shiftable and curtailable loads.
• Evaluate feasibility and reciprocal execution under simulated packet loss, burst outages, and topology changes documented in the scenarios.
• Assess the effect of ADMM iteration counts on optimality and the performance of local feasibility-repair steps with slack variables for load shedding and spillage.

Strengths

• Results are derived from a defined five-microgrid benchmark system.
• Data is associated with a peer-reviewed paper detailing the methodology.
• Published under a permissive CC-BY-4.0 license for reuse.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope and likely few data points.
• Specific row counts, column names, and sample data are unavailable, hindering detailed analysis.
• Experimental results are seed-dependent, limiting generalizability from a single run.

Provenance

Source

figshare, authored by Baheej Alghamdi.

Collection Method

Generated from simulation experiments on a five-microgrid benchmark.

Freshness

Last updated in April 2026.