Resilient Upgrade of Electrical Distribution Grids
Authors: Emre Yamangil, Russell Bent, Scott Backhaus
AAAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Empirical Results The algorithms were implemented using the CPLEX C++ API with Concert technology as a 32 threaded application on Intel XEON 2.29 GHz processors... Table 1 provides results when hardened lines are not damaged or are damaged at rates of 1 100 or 1 10 of the unhardened rate. |
| Researcher Affiliation | Academia | Emre Yamangil Rutgers University New Brunswick, NJ, 08901 yamangil@rutgers.edu; Russell Bent Los Alamos National Laboratory Los Alamos, NM, 87545 rbent@lanl.gov; Scott Backhaus Los Alamos National Laboratory Los Alamos, NM, 87545 backhaus@lanl.gov |
| Pseudocode | Yes | Algorithm 1: Scenario Based Decomposition; Algorithm 2: Greedy; Algorithm 3: Variable Neighborhood Search |
| Open Source Code | No | The paper states 'Full details of the problems are available at http://public.lanl.gov/rbent/', but this refers to problem details, not the source code for the methodology described in the paper. There is no explicit statement about code release. |
| Open Datasets | Yes | Our problems are based on a modified version of the IEEE 34 bus systems (Kersting 1991) |
| Dataset Splits | No | The paper uses 'scenarios' for evaluation and analysis of resilience, but it does not specify traditional training, validation, or test dataset splits (e.g., percentages or sample counts) for model training or evaluation reproducibility. |
| Hardware Specification | Yes | The algorithms were implemented using the CPLEX C++ API with Concert technology as a 32 threaded application on Intel XEON 2.29 GHz processors. |
| Software Dependencies | No | The paper mentions 'CPLEX C++ API with Concert technology' but does not provide a specific version number for CPLEX or any other key software dependencies. |
| Experiment Setup | Yes | In this paper, MAXRESTARTS = 10, MAXITERATIONS = 4, MAXTIME = 48 CPU hours, and d = 2.Here, we generally require λ = 0.98.Here, γ = 0.5.Intensities are modeled as damage rates per mile on power poles and are transformed into the probability a power line segment of one mile length is damaged (a pole has failed). |