Multi-timescale Electricity Market Simulation Tool

Introduction

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).

Run

unit_commitment.py: Include the unit commitment (UC) model formulation and a 24-h test for IEEE 118-bus system. Type in python 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 in python summergo.py -c TX -s nonsr to invoke the non-spinning reserve scenario.

References

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
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

binghui89/FlexibleRampSCUC

Multi-timescale Electricity Market Simulation Tool

Introduction

Run

References