Comments (4)
Give it a try, the latest release should work in principle
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I ran into the issue that the models are MIQPs, so I was getting,
ERROR: MethodError: 'LinearQuadraticModel' has no method matching LinearQuadraticModel(::Pajarito.PajaritoSolver)
I resolved the issue by adding a redundant NLconstraint to the model.
If you agree LinearQuadraticModel is a strict sub-class of NonLinearModel, then this might be a case when Julia's "convert" idea could be useful.
from powermodels.jl.
Have you posted this "error" to Miles? Users of Jump really shouldn't have to do this...
from powermodels.jl.
Miles fixed it here,
from powermodels.jl.
Related Issues (20)
- DCPLL Support for Power Flow Formulations
- Support for Duals of All Constraints
- Drop Support for Run Functions
- Remove obsolete use of `branch_flows` setting
- Ask the question about SOCP model calculations in PowerModels HOT 1
- Generator reactive power limits in PowerModels function compute_ac_pf!() HOT 2
- Not able to solve pti model HOT 2
- solving problems with non-Float64 types HOT 5
- solve_pf() does not work with LPACCPowerModel HOT 3
- There are some doubts about the results of the experiments in the documentation
- Issue with reading Voltage source converter data from PSSE RAW file
- Move data parser to seperate package HOT 2
- Logic makes impedance 0.0 HOT 2
- Precompiling
- Installation of PowerModels with Ipopt support fails on MUSL based systems (Alpine) due to Ipopt HOT 3
- Problem Installing Panda Models HOT 2
- How should solutions report square voltage variables for parallel lines HOT 4
- Potential bug in on_off constraints for dcp.jl HOT 5
- use of Pandapower network in PowerModels.jl HOT 3
- Documentation: DCPPowerModel description text HOT 3
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