#380

Committed 09 Dec 2023 03:57AM UTC coverage: 0.102%. First build

Build # #380

Build Type

Pull #600

travis-ci

Pull Request Pull Request #600: Gen x retrofit mit

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/src/load_inputs/load_generators_variability.jl

@doc raw"""
        load_generators_variability!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to hourly maximum capacity factors for generators, storage, and flexible demand resources
"""
function load_generators_variability!(setup::Dict, path::AbstractString, inputs::Dict)

    # Hourly capacity factors
    TDR_directory = joinpath(path, setup["TimeDomainReductionFolder"])
    # if TDR is used, my_dir = TDR_directory, else my_dir = "system"
    my_dir = get_systemfiles_path(setup, TDR_directory, path)

    filename = "Generators_variability.csv"
    gen_var = load_dataframe(joinpath(my_dir, filename))

    all_resources = inputs["RESOURCE_NAMES"]

    existing_variability = names(gen_var)
    for r in all_resources
        if r ∉ existing_variability
            @info "assuming availability of 1.0 for resource $r."
            ensure_column!(gen_var, r, 1.0)
        end
    end

    # Reorder DataFrame to R_ID order
    select!(gen_var, [:Time_Index; Symbol.(all_resources)])

    # Maximum power output and variability of each energy resource
    inputs["pP_Max"] = transpose(Matrix{Float64}(gen_var[1:inputs["T"],
        2:(inputs["G"] + 1)]))

    println(filename * " Successfully Read!")
end

1	@doc raw"""
2	load_generators_variability!(setup::Dict, path::AbstractString, inputs::Dict)
3
4	Read input parameters related to hourly maximum capacity factors for generators, storage, and flexible demand resources
5	"""
6	function load_generators_variability!(setup::Dict, path::AbstractString, inputs::Dict)
7
8	# Hourly capacity factors
9	TDR_directory = joinpath(path, setup["TimeDomainReductionFolder"])
10	# if TDR is used, my_dir = TDR_directory, else my_dir = "system"
11	my_dir = get_systemfiles_path(setup, TDR_directory, path)
12
13	filename = "Generators_variability.csv"
14	gen_var = load_dataframe(joinpath(my_dir, filename))
15
16	all_resources = inputs["RESOURCE_NAMES"]
17
18	existing_variability = names(gen_var)
19	for r in all_resources
20	if r ∉ existing_variability
21	@info "assuming availability of 1.0 for resource $r."
22	ensure_column!(gen_var, r, 1.0)	×
23	end
24	end
25		×
26	# Reorder DataFrame to R_ID order	×
27	select!(gen_var, [:Time_Index; Symbol.(all_resources)])	×
28
29	# Maximum power output and variability of each energy resource	×
30	inputs["pP_Max"] = transpose(Matrix{Float64}(gen_var[1:inputs["T"],
31	2:(inputs["G"] + 1)]))	×
NEW 32		×
NEW 33	println(filename * " Successfully Read!")	×
34	end

GenXProject / GenX / #380

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