Allow load_vre_stor_variability! to load wind or solar variabilities (

#728)

Update the `load_vre_stor_variability!`function to support 
loading variabilities separately for wind or solar.

CHANGELOG.md

@@ -12,6 +12,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Fix `devbranch` in the docs `make.jl` file to track the develop branch (#710)
 - Fix `TDR` to load `Fuels_data.csv` w/wo optional `None` column (#720)
 - Include comprehensive list of all settings flags (that are currently in GenX) in the docs (#721)
+- Allow `load_vre_stor_variability!` to load only wind or solar resources as 
+part of the VRE_STOR module (#728)
 
 ### Added
 - Add objective scaler for addressing problem ill-conditioning (#667)

Project.toml

@@ -1,7 +1,7 @@
 name = "GenX"
 uuid = "5d317b1e-30ec-4ed6-a8ce-8d2d88d7cfac"
 authors = ["Bonaldo, Luca", "Chakrabarti, Sambuddha", "Cheng, Fangwei", "Ding, Yifu", "Jenkins, Jesse D.", "Luo, Qian", "Macdonald, Ruaridh", "Mallapragada, Dharik", "Manocha, Aneesha", "Mantegna, Gabe ", "Morris, Jack", "Patankar, Neha", "Pecci, Filippo", "Schwartz, Aaron", "Schwartz, Jacob", "Schivley, Greg", "Sepulveda, Nestor", "Xu, Qingyu", "Zhou, Justin"]
-version = "0.4.0-dev.13"
+version = "0.4.0-dev.14"
 
 [deps]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"

src/load_inputs/load_vre_stor_variability.jl

@@ -12,36 +12,67 @@ function load_vre_stor_variability!(setup::Dict, path::AbstractString, inputs::D
     # if TDR is used, my_dir = TDR_directory, else my_dir = "system"
     my_dir = get_systemfiles_path(setup, TDR_directory, path)
 
-    filename1 = "Vre_and_stor_solar_variability.csv"
-    vre_stor_solar = load_dataframe(joinpath(my_dir, filename1))
-
-    filename2 = "Vre_and_stor_wind_variability.csv"
-    vre_stor_wind = load_dataframe(joinpath(my_dir, filename2))
-
+    # Resource names
     all_resources = inputs["RESOURCE_NAMES"]
 
-    function ensure_column_zeros!(vre_stor_df, all_resources)
-        existing_variability = names(vre_stor_df)
-        for r in all_resources
-            if r ∉ existing_variability
-                ensure_column!(vre_stor_df, r, 0.0)
-            end
-        end
+    # SOLAR VARIABILITY
+    if !isempty(inputs["VS_SOLAR"])
+        filename = "Vre_and_stor_solar_variability.csv"
+        filepath = joinpath(my_dir, filename)
+        load_process_variability!(filepath, all_resources, inputs, "Solar")
+    end
+
+    # WIND VARIABILITY
+    if !isempty(inputs["VS_WIND"])
+        filename = "Vre_and_stor_wind_variability.csv"
+        filepath = joinpath(my_dir, filename)
+        load_process_variability!(filepath, all_resources, inputs, "Wind")
     end
 
-    ensure_column_zeros!(vre_stor_solar, all_resources)
-    ensure_column_zeros!(vre_stor_wind, all_resources)
+    return nothing
+end
+
+@doc raw"""
+    load_process_variability!(filepath::AbstractString, all_resources::Vector{T},
+            inputs::Dict, maxpower_key::String) where {T <: AbstractString}
+
+Load and process variability data for different VRE_storage components.
 
-    # Reorder DataFrame to R_ID order (order provided in Vre_and_stor_data.csv)
-    select!(vre_stor_solar, [:Time_Index; Symbol.(all_resources)])
-    select!(vre_stor_wind, [:Time_Index; Symbol.(all_resources)])
+This function reads a CSV file specified by `filepath`, containing variability 
+data for different VRE_storage components. The function then sets the variability
+to zero for resources not in the file, selects the resources in the order of
+`all_resources`, and stores the maximum power output and variability of each
+energy resource in the `inputs` dictionary.
+
+# Arguments
+- `filepath::AbstractString`: Path to the CSV file with variability data.
+- `all_resources::Vector{T}`: Vector containing all the energy resources.
+- `inputs::Dict`: Dictionary to store input data.
+- `maxpower_key::String`: Identifier for the key for the maximum power 
+output in the `inputs` dict.
+"""
+function load_process_variability!(filepath::AbstractString, all_resources::Vector{T},
+        inputs::Dict, maxpower_key::String) where {T <: AbstractString}
+    vre_stor = load_dataframe(filepath)
+
+    # Set variability to zero for resources not in the file
+    ensure_column_zeros!(vre_stor, all_resources)
+
+    # select the resources in the order of all_resources
+    select!(vre_stor, [:Time_Index; Symbol.(all_resources)])
 
     # Maximum power output and variability of each energy resource
-    inputs["pP_Max_Solar"] = transpose(Matrix{Float64}(vre_stor_solar[1:inputs["T"],
-        2:(inputs["G"] + 1)]))
-    inputs["pP_Max_Wind"] = transpose(Matrix{Float64}(vre_stor_wind[1:inputs["T"],
-        2:(inputs["G"] + 1)]))
+    inputs["pP_Max" * "_" * maxpower_key] = transpose(Matrix{Float64}(vre_stor[
+        1:inputs["T"], 2:(inputs["G"] + 1)]))
 
-    println(filename1 * " Successfully Read!")
-    println(filename2 * " Successfully Read!")
+    println(filepath * " Successfully Read!")
+end
+
+function ensure_column_zeros!(vre_stor_df, all_resources)
+    existing_variability = names(vre_stor_df)
+    for r in all_resources
+        if r ∉ existing_variability
+            ensure_column!(vre_stor_df, r, 0.0)
+        end
+    end
 end

test/VRE_storage/solar/resources/Vre_stor.csv

@@ -0,0 +1,34 @@
+Resource,Zone,SOLAR,WIND,STOR_DC_DISCHARGE,STOR_DC_CHARGE,STOR_AC_DISCHARGE,STOR_AC_CHARGE,LDS_VRE_STOR,Existing_Cap_MW,Existing_Cap_MWh,Existing_Cap_Inverter_MW,Existing_Cap_Solar_MW,Existing_Cap_Wind_MW,Existing_Cap_Discharge_DC_MW,Existing_Cap_Charge_DC_MW,Existing_Cap_Discharge_AC_MW,Existing_Cap_Charge_AC_MW,New_Build,Can_Retire,Min_Cap_MW,Min_Cap_MWh,Min_Cap_Inverter_MW,Min_Cap_Solar_MW,Min_Cap_Wind_MW,Min_Cap_Discharge_DC_MW,Min_Cap_Charge_DC_MW,Min_Cap_Discharge_AC_MW,Min_Cap_Charge_AC_MW,Max_Cap_MW,Max_Cap_MWh,Max_Cap_Inverter_MW,Max_Cap_Solar_MW,Max_Cap_Wind_MW,Max_Cap_Discharge_DC_MW,Max_Cap_Charge_DC_MW,Max_Cap_Discharge_AC_MW,Max_Cap_Charge_AC_MW,Inv_Cost_per_MWyr,Fixed_OM_Cost_per_MWyr,Inv_Cost_per_MWhyr,Fixed_OM_Cost_per_MWhyr,Var_OM_Cost_per_MWh,Inv_Cost_Inverter_per_MWyr,Inv_Cost_Solar_per_MWyr,Inv_Cost_Wind_per_MWyr,Inv_Cost_Discharge_DC_per_MWyr,Inv_Cost_Charge_DC_per_MWyr,Inv_Cost_Discharge_AC_per_MWyr,Inv_Cost_Charge_AC_per_MWyr,Fixed_OM_Inverter_Cost_per_MWyr,Fixed_OM_Solar_Cost_per_MWyr,Fixed_OM_Wind_Cost_per_MWyr,Fixed_OM_Cost_Discharge_DC_per_MWyr,Fixed_OM_Cost_Charge_DC_per_MWyr,Fixed_OM_Cost_Discharge_AC_per_MWyr,Fixed_OM_Cost_Charge_AC_per_MWyr,Var_OM_Cost_per_MWh_Solar,Var_OM_Cost_per_MWh_Wind,Var_OM_Cost_per_MWh_Discharge_DC,Var_OM_Cost_per_MWh_Charge_DC,Var_OM_Cost_per_MWh_Discharge_AC,Var_OM_Cost_per_MWh_Charge_AC,EtaInverter,Inverter_Ratio_Wind,Inverter_Ratio_Solar,Power_to_Energy_DC,Power_to_Energy_AC,Self_Disch,Eff_Up_DC,Eff_Down_DC,Eff_Up_AC,Eff_Down_AC,region,Resource_Type,technology,cluster
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+EIC_utilitypv_class1_moderate_4,1,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,-1,-1,-1,2254699.98,-1,-1,-1,-1,-1,16248,0,0,0,0.15,7522,22706,0,0,0,0,0,1875,12550,0,0,0,0,0,0,0,0.15,0.15,0,0,0.967,-1,-1,0.005,0.005,0,0.65,0.65,0.65,0.65,EIC,hybrid_pv,UtilityPV_Class1_Moderate_,4
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+EIC_utilitypv_class1_moderate_8,1,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,-1,-1,-1,2501477.94,-1,-1,-1,-1,-1,32414,0,0,0,0.15,7522,22706,0,0,0,0,0,1875,12550,0,0,0,0,0,0,0,0.15,0.15,0,0,0.967,-1,-1,0.005,0.005,0,0.65,0.65,0.65,0.65,EIC,hybrid_pv,UtilityPV_Class1_Moderate_,8
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+TRE_utilitypv_class1_moderate_3,2,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,-1,-1,-1,232869.52,-1,-1,-1,-1,-1,14103,0,0,0,0.15,7303,21612,0,0,0,0,0,1875,12550,0,0,0,0,0,0,0,0.15,0.15,0,0,0.967,-1,-1,0.005,0.005,0,0.65,0.65,0.65,0.65,TRE,hybrid_pv,UtilityPV_Class1_Moderate_,3
+TRE_utilitypv_class1_moderate_4,2,1,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,-1,-1,-1,409644.17,-1,-1,-1,-1,-1,14224,0,0,0,0.15,7303,21612,0,0,0,0,0,1875,12550,0,0,0,0,0,0,0,0.15,0.15,0,0,0.967,-1,-1,0.005,0.005,0,0.65,0.65,0.65,0.65,TRE,hybrid_pv,UtilityPV_Class1_Moderate_,4
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