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A Distributed Framework for Solving and Benchmarking Security Constrained Unit Commitment With Warm Start
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DOI：10.1109/TPWRS.2019.2930706.png)
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Abstract
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This paper discusses several methods to improve commercial optimization solver performance on day-ahead security constrained unit commitment through warm start and lazy constraint settings. Data analytics is performed to greatly improve the quality of the initial commitment solution and lazy constraint setting. A distributed optimization framework is proposed to take advantage of the diversity from prevalent solvers (GUROBI and CPLEX) and different warm start strategies. A systematic distribution profile based benchmarking method is also proposed.
Keywords:
MISO communication
Security
Data analysis
Optimization
Production
Load modeling
Benchmark testing
Mixed-integer programming
performance benchmark
security-constrained unit commitment
tight formulation
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