wyattarnold / stagelp-wsop

Water Supply Portfolio Optimization with Multi-stage Stochastic Mixed-Integer Linear Programming

Requires:

• Pyomo
• networkx

Solver(s):

• Gurobi

Two-stage stochastic programming with Pyomo's PySP modeling extension.

Run

Run two-stage model /models/two_stage_deterministic:

runef --solve -m=two_stage_concrete.py --solver=gurobi --solution-writer=pyomo.pysp.plugins.csvsolutionwriter 

Run three-stage model /models/three_stage_scenarios:

runef --solve -m=three_stage_scenario.py --solver=gurobi  --solver-options="NonConvex=2" --solution-writer=pyomo.pysp.plugins.csvsolutionwriter

References

Lund, J. R. (1995). Derived Estimation of Willingness to Pay to Avoid Probabilistic Shortage. Water Resources Research, 31(5), 1367–1372.

Wilchfort Orit, & Lund Jay R. (1997). Shortage Management Modeling for Urban Water Supply Systems. Journal of Water Resources Planning and Management, 123(4), 250–258.

Rosenberg, D. E., & Lund, J. R. (2009). Modeling Integrated Decisions for a Municipal Water System with Recourse and Uncertainties: Amman, Jordan. Water Resources Management, 23(1), 85.