This tool can simulate operations and scheduling of multi-timescale electricity markets, including energy and ancillary services. The timescales range from day-ahead to real-time markets. The model is formulated as a mixed integer linear program (MILP) and it required a mathematical optimization solver (e.g., CPLEX, Gurobi, GLPK).
unit_commitment.py
: Include the unit commitment (UC) model formulation and a 24-h test for IEEE 118-bus system. Type inpython unit_commitment.py
to run it.sequential_model_new.py
: Simulate 118 bus system. Currently infeasible at RTED 22.summergo.py
: Simulate TX2k system for non-spinning reserve. Type inpython summergo.py -c TX -s nonsr
to invoke the non-spinning reserve scenario.
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Li, B., Sedzro, K., Fang, X., Hodge, B.M. and Zhang, J., 2020. A clustering-based scenario generation framework for power market simulation with wind integration. Journal of Renewable and Sustainable Energy, 12(3), p.036301. LINK
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Li, B., Feng, C. and Zhang, J., 2021, April. Multi-Timescale Simulation of Non-Spinning Reserve in Wholesale Electricity Markets. In 2021 IEEE Green Technologies Conference (GreenTech) (pp. 520-527). IEEE. LINK