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Asymmetric line flow (Refined); READY FOR REVIEW !!! #789
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# Three Zones | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. If we decide to keep this example, we might need to this description. |
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**Three Zones**, a one-year example with hourly resolution, contains zones representing Massachusetts, Connecticut, and Maine. The ten represented resources include natural gas, solar PV, wind, and lithium-ion battery storage. | ||
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To run the model, first navigate to the example directory: | ||
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- Using a Julia REPL: | ||
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```bash | ||
$ julia | ||
julia> cd("example_systems/1_three_zones/") | ||
``` | ||
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- Using a terminal or command prompt: | ||
```bash | ||
$ cd example_systems/1_three_zones/ | ||
``` | ||
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Next, ensure that your settings in `settings/genx_settings.yml` are correct. The default settings use the solver `HiGHS`, time domain reduced input data (`TimeDomainReduction: 1`) and minimum capacity requirement policy (`MinCapReq: 1`) as specified in the `policies/Minimum_capacity_requirement.csv` file. Other optional policies include a capacity reserve margin, an energy share requirement (such as renewable portfolio standard (RPS) or clean electricity standard (CES) policies), a CO2 emissions cap, and a maximum capacity requirement policy (see the documentation for more details). For this example, a rate-based carbon cap of 50 gCO<sub>2</sub> per kWh is specified in the `policies/CO2_cap.csv` input file. | ||
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Once the settings are confirmed, run the model with the `Run.jl` script in the example directory: | ||
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- Using a Julia REPL (recommended) | ||
```julia | ||
julia> include("Run.jl") | ||
``` | ||
- Using a terminal or command prompt: | ||
```bash | ||
$ julia Run.jl | ||
``` | ||
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Once the model has completed, results will write to the `results` directory. |
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using GenX | ||
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run_genx_case!(dirname(@__FILE__)) |
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,Network_zones,CO_2_Cap_Zone_1,CO_2_Cap_Zone_2,CO_2_Cap_Zone_3,CO_2_Max_tons_MWh_1,CO_2_Max_tons_MWh_2,CO_2_Max_tons_MWh_3,CO_2_Max_Mtons_1,CO_2_Max_Mtons_2,CO_2_Max_Mtons_3 | ||
MA,z1,1,0,0,0.05,0,0,0.018,0,0 | ||
CT,z2,0,1,0,0,0.05,0,0,0.025,0 | ||
ME,z3,0,0,1,0,0,0.05,0,0,0.025 |
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MinCapReqConstraint,ConstraintDescription,Min_MW | ||
1,MA_PV,5000 | ||
2,CT_Wind,10000 | ||
3,All_Batteries,6000 |
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Resource,Zone,Model,New_Build,Can_Retire,Existing_Cap_MW,Existing_Cap_MWh,Max_Cap_MW,Max_Cap_MWh,Min_Cap_MW,Min_Cap_MWh,Inv_Cost_per_MWyr,Inv_Cost_per_MWhyr,Fixed_OM_Cost_per_MWyr,Fixed_OM_Cost_per_MWhyr,Var_OM_Cost_per_MWh,Var_OM_Cost_per_MWh_In,Self_Disch,Eff_Up,Eff_Down,Min_Duration,Max_Duration,Reg_Max,Rsv_Max,Reg_Cost,Rsv_Cost,region,cluster | ||
MA_battery,1,1,1,0,0,0,-1,-1,0,0,19584,22494,4895,5622,0.15,0.15,0,0.92,0.92,1,10,0,0,0,0,MA,0 | ||
CT_battery,2,1,1,0,0,0,-1,-1,0,0,19584,22494,4895,5622,0.15,0.15,0,0.92,0.92,1,10,0,0,0,0,CT,0 | ||
ME_battery,3,1,1,0,0,0,-1,-1,0,0,19584,22494,4895,5622,0.15,0.15,0,0.92,0.92,1,10,0,0,0,0,ME,0 |
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Resource,Zone,Model,New_Build,Can_Retire,Existing_Cap_MW,Max_Cap_MW,Min_Cap_MW,Inv_Cost_per_MWyr,Fixed_OM_Cost_per_MWyr,Var_OM_Cost_per_MWh,Heat_Rate_MMBTU_per_MWh,Fuel,Cap_Size,Start_Cost_per_MW,Start_Fuel_MMBTU_per_MW,Up_Time,Down_Time,Ramp_Up_Percentage,Ramp_Dn_Percentage,Min_Power,Reg_Max,Rsv_Max,Reg_Cost,Rsv_Cost,region,cluster | ||
MA_natural_gas_combined_cycle,1,1,1,0,0,-1,0,65400,10287,3.55,7.43,MA_NG,250,91,2,6,6,0.64,0.64,0.468,0.25,0.5,0,0,MA,1 | ||
CT_natural_gas_combined_cycle,2,1,1,0,0,-1,0,65400,9698,3.57,7.12,CT_NG,250,91,2,6,6,0.64,0.64,0.338,0.133332722,0.266665444,0,0,CT,1 | ||
ME_natural_gas_combined_cycle,3,1,1,0,0,-1,0,65400,16291,4.5,12.62,ME_NG,250,91,2,6,6,0.64,0.64,0.474,0.033333333,0.066666667,0,0,ME,1 |
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Resource,Zone,Num_VRE_Bins,New_Build,Can_Retire,Existing_Cap_MW,Max_Cap_MW,Min_Cap_MW,Inv_Cost_per_MWyr,Fixed_OM_Cost_per_MWyr,Var_OM_Cost_per_MWh,Reg_Max,Rsv_Max,Reg_Cost,Rsv_Cost,region,cluster | ||
MA_solar_pv,1,1,1,0,0,-1,0,85300,18760,0,0,0,0,0,MA,1 | ||
CT_onshore_wind,2,1,1,0,0,-1,0,97200,43205,0.1,0,0,0,0,CT,1 | ||
CT_solar_pv,2,1,1,0,0,-1,0,85300,18760,0,0,0,0,0,CT,1 | ||
ME_onshore_wind,3,1,1,0,0,-1,0,97200,43205,0.1,0,0,0,0,ME,1 |
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Resource,Min_Cap_1,Min_Cap_2,Min_Cap_3 | ||
MA_solar_pv,1,0,0 | ||
CT_onshore_wind,0,1,0 | ||
MA_battery,0,0,1 | ||
CT_battery,0,0,1 | ||
ME_battery,0,0,1 |
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# Clp Solver parameters https://github.com/jump-dev/Clp.jl | ||
# Common solver settings | ||
Feasib_Tol: 1e-5 # Primal/Dual feasibility tolerance | ||
TimeLimit: -1.0 # Terminate after this many seconds have passed. A negative value means no time limit | ||
Pre_Solve: 0 # Set to 1 to disable presolve | ||
Method: 5 # Solution method: dual simplex (0), primal simplex (1), sprint (2), barrier with crossover (3), barrier without crossover (4), automatic (5) | ||
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#Clp-specific solver settings | ||
DualObjectiveLimit: 1e308 # When using dual simplex (where the objective is monotonically changing), terminate when the objective exceeds this limit | ||
MaximumIterations: 2147483647 # Terminate after performing this number of simplex iterations | ||
LogLevel: 1 # Set to 1, 2, 3, or 4 for increasing output. Set to 0 to disable output | ||
InfeasibleReturn: 0 # Set to 1 to return as soon as the problem is found to be infeasible (by default, an infeasibility proof is computed as well) | ||
Scaling: 3 # 0 -off, 1 equilibrium, 2 geometric, 3 auto, 4 dynamic(later) | ||
Perturbation: 100 # switch on perturbation (50), automatic (100), don't try perturbing (102) |
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# CPLEX Solver Parameters | ||
Feasib_Tol: 1.0e-05 # Constraint (primal) feasibility tolerances. | ||
Optimal_Tol: 1e-5 # Dual feasibility tolerances. | ||
Pre_Solve: 1 # Controls presolve level. | ||
TimeLimit: 110000 # Limits total time solver. | ||
MIPGap: 1e-3 # Relative (p.u. of optimal) mixed integer optimality tolerance for MIP problems (ignored otherwise). | ||
Method: 2 # Algorithm used to solve continuous models (including MIP root relaxation). | ||
BarConvTol: 1.0e-08 # Barrier convergence tolerance (determines when barrier terminates). | ||
NumericFocus: 0 # Numerical precision emphasis. | ||
SolutionType: 2 # Solution type for LP or QP. |
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NetworkExpansion: 1 # Transmission network expansionl; 0 = not active; 1 = active systemwide | ||
Trans_Loss_Segments: 1 # Number of segments used in piecewise linear approximation of transmission losses; 1 = linear, >2 = piecewise quadratic | ||
EnergyShareRequirement: 0 # Minimum qualifying renewables penetration; 0 = not active; 1 = active systemwide | ||
CapacityReserveMargin: 0 # Number of capacity reserve margin constraints; 0 = not active; 1 = active systemwide | ||
CO2Cap: 2 # CO2 emissions cap; 0 = not active (no CO2 emission limit); 1 = mass-based emission limit constraint; 2 = demand + rate-based emission limit constraint; 3 = generation + rate-based emission limit constraint | ||
StorageLosses: 1 # Energy Share Requirement and CO2 constraints account for energy lost; 0 = not active (DO NOT account for energy lost); 1 = active systemwide (DO account for energy lost) | ||
MinCapReq: 1 # Activate minimum technology carveout constraints; 0 = not active; 1 = active | ||
MaxCapReq: 0 # Activate maximum technology carveout constraints; 0 = not active; 1 = active | ||
ParameterScale: 1 # Turn on parameter scaling wherein demand, capacity and power variables are defined in GW rather than MW. 0 = not active; 1 = active systemwide | ||
WriteShadowPrices: 1 # Write shadow prices of LP or relaxed MILP; 0 = not active; 1 = active | ||
UCommit: 2 # Unit committment of thermal power plants; 0 = not active; 1 = active using integer clestering; 2 = active using linearized clustering | ||
TimeDomainReduction: 1 # Time domain reduce (i.e. cluster) inputs based on Demand_data.csv, Generators_variability.csv, and Fuels_data.csv; 0 = not active (use input data as provided); 0 = active (cluster input data, or use data that has already been clustered) | ||
OutputFullTimeSeries: 1 | ||
asymmetrical_trans_flow_limit: 1 # Switch to indicate if asymmetrical bidirectional lines are included in the system or not | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. By convention, we use PascalCase (or UpperCamelCase) for setting keys: |
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# Gurobi Solver Parameters | ||
# Common solver settings | ||
Feasib_Tol: 1.0e-05 # Constraint (primal) feasibility tolerances. | ||
Optimal_Tol: 1e-5 # Dual feasibility tolerances. | ||
TimeLimit: 110000 # Limits total time solver. | ||
Pre_Solve: 1 # Controls presolve level. | ||
Method: 4 # Algorithm used to solve continuous models (including MIP root relaxation). | ||
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#Gurobi-specific solver settings | ||
MIPGap: 1e-3 # Relative (p.u. of optimal) mixed integer optimality tolerance for MIP problems (ignored otherwise). | ||
BarConvTol: 1.0e-08 # Barrier convergence tolerance (determines when barrier terminates). | ||
NumericFocus: 0 # Numerical precision emphasis. | ||
Crossover: -1 # Barrier crossver strategy. | ||
PreDual: 0 # Decides whether presolve should pass the primal or dual linear programming problem to the LP optimization algorithm. | ||
AggFill: 10 # Allowed fill during presolve aggregation. |
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# HiGHS Solver Parameters | ||
# Common solver settings | ||
Feasib_Tol: 1.0e-05 # Primal feasibility tolerance # [type: double, advanced: false, range: [1e-10, inf], default: 1e-07] | ||
Optimal_Tol: 1.0e-05 # Dual feasibility tolerance # [type: double, advanced: false, range: [1e-10, inf], default: 1e-07] | ||
TimeLimit: 1.0e23 # Time limit # [type: double, advanced: false, range: [0, inf], default: inf] | ||
Pre_Solve: choose # Presolve option: "off", "choose" or "on" # [type: string, advanced: false, default: "choose"] | ||
Method: ipm #HiGHS-specific solver settings # Solver option: "simplex", "choose" or "ipm" # [type: string, advanced: false, default: "choose"] | ||
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# run the crossover routine for ipx | ||
# [type: string, advanced: "on", range: {"off", "on"}, default: "off"] | ||
run_crossover: "on" |
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##### | ||
# | ||
# TIME DOMAIN REDUCTION SETTINGS | ||
# | ||
# Set parameters here that organize how your full timeseries | ||
# data will be divided into representative period clusters. | ||
# Ensure that time_domain_reduction is set to 1 in GenX_settings.yml | ||
# before running. Run within GenX or use PreCluster.jl to test and | ||
# examine representative period output before proceeding. | ||
# Specify your data input directory as inpath within Run_test.jl | ||
# or PreCluster.jl. | ||
# | ||
##### | ||
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# - TimestepsPerRepPeriod | ||
# Typically 168 timesteps (e.g., hours) per period, this designates | ||
# the length of each representative period. | ||
TimestepsPerRepPeriod: 168 | ||
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# - ClusterMethod | ||
# Either 'kmeans' or 'kmedoids', this designates the method used to cluster | ||
# periods and determine each point's representative period. | ||
ClusterMethod: 'kmeans' | ||
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# - ScalingMethod | ||
# Either 'N' or 'S', this designates directs the module to normalize ([0,1]) | ||
# or standardize (mean 0, variance 1) the input data. | ||
ScalingMethod: "S" | ||
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# - MaxPeriods | ||
# The maximum number of periods - both clustered periods and extreme periods - | ||
# that may be used to represent the input data. If IterativelyAddPeriods is on and the | ||
# error threshold is never met, this will be the total number of periods. | ||
MaxPeriods: 11 | ||
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# - MinPeriods | ||
# The minimum number of periods used to represent the input data. If using | ||
# UseExtremePeriods, this must be at least the number of extreme periods requests. If | ||
# IterativelyAddPeriods if off, this will be the total number of periods. | ||
MinPeriods: 8 | ||
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# - IterativelyAddPeriods | ||
# Either 'yes' or 'no', this designates whether or not to add periods | ||
# until the error threshold between input data and represented data is met or the maximum | ||
# number of periods is reached. | ||
IterativelyAddPeriods: 1 | ||
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# - IterateMethod | ||
# Either 'cluster' or 'extreme', this designates whether to add clusters to | ||
# the kmeans/kmedoids method or to set aside the worst-fitting periods as a new extreme periods. | ||
# The default option is 'cluster'. | ||
IterateMethod: "cluster" | ||
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# - Threshold | ||
# Iterative period addition will end if the period farthest (Euclidean Distance) | ||
# from its representative period is within this percentage of the total possible error (for normalization) | ||
# or ~95% of the total possible error (for standardization). E.g., for a threshold of 0.01, | ||
# every period must be within 1% of the spread of possible error before the clustering | ||
# iterations will terminate (or until the max number of periods is reached). | ||
Threshold: 0.05 | ||
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# - nReps | ||
# The number of times to repeat each kmeans/kmedoids clustering at the same setting. | ||
nReps: 100 | ||
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# - DemandWeight | ||
# Default 1, this is an optional multiplier on demand columns in order to prioritize | ||
# better fits for demand profiles over resource capacity factor profiles. | ||
DemandWeight: 1 | ||
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# - WeightTotal | ||
# Default 8760, the sum to which the relative weights of representative periods will be scaled. | ||
WeightTotal: 8760 | ||
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# - ClusterFuelPrices | ||
# Either 1 (yes) or 0 (no), this indicates whether or not to use the fuel price | ||
# time series in Fuels_data.csv in the clustering process. If 0, this function will still write | ||
# Fuels_data_clustered.csv with reshaped fuel prices based on the number and size of the | ||
# representative weeks, assuming a constant time series of fuel prices with length equal to the | ||
# number of timesteps in the raw input data. | ||
ClusterFuelPrices: 1 | ||
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# - UseExtremePeriods | ||
# Either 'yes' or 'no', this designates whether or not to include | ||
# outliers (by performance or demand/resource extreme) as their own representative periods. | ||
# This setting automatically includes the periods with maximum demand, minimum solar cf and | ||
# minimum wind cf as extreme periods. | ||
UseExtremePeriods: 1 | ||
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# - MultiStageConcatenate | ||
# (Only considered if MultiStage = 1 in genx_settings.yml) | ||
# If 1, this designates that the model should time domain reduce the input data | ||
# of all model stages together. Else if 0, the model will time domain reduce each | ||
# stage separately | ||
MultiStageConcatenate: 0 | ||
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# STILL IN DEVELOPMENT - Currently just uses integral max demand, integral min PV and wind. | ||
# - ExtremePeriods | ||
# Use this to define which periods to be included among the final representative periods | ||
# as "Extreme Periods". | ||
# Select by profile type: demand ("Demand"), solar PV capacity factors ("PV"), and wind capacity factors ("Wind"). | ||
# Select whether to examine these profiles by zone ("Zone") or across the whole system ("System"). | ||
# Select whether to look for absolute max/min at the timestep level ("Absolute") | ||
# or max/min sum across the period ("Integral"). | ||
# Select whether you want the maximum ("Max") or minimum ("Min") (of the prior type) for each profile type. | ||
ExtremePeriods: | ||
Demand: | ||
Zone: | ||
Absolute: | ||
Max: 0 | ||
Min: 0 | ||
Integral: | ||
Max: 0 | ||
Min: 0 | ||
System: | ||
Absolute: | ||
Max: 1 | ||
Min: 0 | ||
Integral: | ||
Max: 0 | ||
Min: 0 | ||
PV: | ||
Zone: | ||
Absolute: | ||
Max: 0 | ||
Min: 0 | ||
Integral: | ||
Max: 0 | ||
Min: 1 | ||
System: | ||
Absolute: | ||
Max: 0 | ||
Min: 0 | ||
Integral: | ||
Max: 0 | ||
Min: 0 | ||
Wind: | ||
Zone: | ||
Absolute: | ||
Max: 0 | ||
Min: 0 | ||
Integral: | ||
Max: 0 | ||
Min: 1 | ||
System: | ||
Absolute: | ||
Max: 0 | ||
Min: 0 | ||
Integral: | ||
Max: 0 | ||
Min: 0 |
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This part should go under the
##Unreleased
section above as it belongs to a new release.