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Initial refactor of cost functions #1071

Merged
merged 50 commits into from
Apr 30, 2024
Merged

Initial refactor of cost functions #1071

merged 50 commits into from
Apr 30, 2024

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jd-lara
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@jd-lara jd-lara commented Mar 8, 2024

@GabrielKS this is a first pass at a rewrite of all the costs associated with different unit types and the market costs.

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@rodrigomha
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Do we have methods to unpack the points of PieceWisePointCurves? Or any other InputOutput curve?

We should have a method that wraps:

power_cost_curve = PiecewisePointCurve([(1.0, 1.0), (2.0, 3.0), (3.0, 6.0), (4.0, 10.0), (5.0, 15.0)])
input_points, output_points = (zip(get_points(power_cost_curve)...) .|> collect)

Also, are we expecting users to use the get_points method? I like the presentation of the get_points when you print the curve, so I think it would be good to use this one to print in the REPL

julia> get_points(power_cost_curve)
5-element Vector{@NamedTuple{x::Float64, y::Float64}}:
 (x = 1.0, y = 1.0)
 (x = 2.0, y = 3.0)
 (x = 3.0, y = 6.0)
 (x = 4.0, y = 10.0)
 (x = 5.0, y = 15.0)

instead of:

julia> power_cost_curve
PiecewisePointCurve(PiecewiseLinearData(@NamedTuple{x::Float64, y::Float64}[(x = 1.0, y = 1.0), (x = 2.0, y = 3.0), (x = 3.0, y = 6.0), (x = 4.0, y = 10.0), (x = 5.0, y = 15.0)]))

@GabrielKS
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@rodrigomha I'm still ironing out the public interface (have taken a few stabs at this but I keep getting the domain-specific terminology wrong) but yes there should ultimately be a way to get all the x-coordinates and a way to get all the y-coordinates. In fact these functions exist at the underlying FunctionData level, I just need to figure out how best to wrap them. Definitely planning a more friendly println/etc. presentation as well.

@rodrigomha
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@rodrigomha I'm still ironing out the public interface (have taken a few stabs at this but I keep getting the domain-specific terminology wrong) but yes there should ultimately be a way to get all the x-coordinates and a way to get all the y-coordinates. In fact these functions exist at the underlying FunctionData level, I just need to figure out how best to wrap them. Definitely planning a more friendly println/etc. presentation as well.

This is good, we can just make a wrapper of get_x_coords, in some form (like get_input_points) such that we can call it directly to the InputOutputCurve, rather than the function_data itself.

Regarding the presentation, we should discuss if using pretty_tables or other form makes sense here or not.

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@jd-lara jd-lara assigned GabrielKS and unassigned jd-lara Apr 22, 2024
@jd-lara
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jd-lara commented Apr 22, 2024

Do we have methods to unpack the points of PieceWisePointCurves? Or any other InputOutput curve?

We should have a method that wraps:

power_cost_curve = PiecewisePointCurve([(1.0, 1.0), (2.0, 3.0), (3.0, 6.0), (4.0, 10.0), (5.0, 15.0)])
input_points, output_points = (zip(get_points(power_cost_curve)...) .|> collect)

Also, are we expecting users to use the get_points method? I like the presentation of the get_points when you print the curve, so I think it would be good to use this one to print in the REPL

julia> get_points(power_cost_curve)
5-element Vector{@NamedTuple{x::Float64, y::Float64}}:
 (x = 1.0, y = 1.0)
 (x = 2.0, y = 3.0)
 (x = 3.0, y = 6.0)
 (x = 4.0, y = 10.0)
 (x = 5.0, y = 15.0)

instead of:

julia> power_cost_curve
PiecewisePointCurve(PiecewiseLinearData(@NamedTuple{x::Float64, y::Float64}[(x = 1.0, y = 1.0), (x = 2.0, y = 3.0), (x = 3.0, y = 6.0), (x = 4.0, y = 10.0), (x = 5.0, y = 15.0)]))

There is an open issue for the printing. We should merge this to continue with the implementation in PSI.

@GabrielKS
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Tracking issue is #1092, I'd love some substantive review of the added source files before I merge this.


PowerSystems.jl provides an extensive type hierarchy to explicitly express relationships between power production and cost. This lets the modeler represent cost functions as linear, quadratic, or piecewise input-output curves, potentially piecewise marginal heat rates, average heat rates, and more, as best fits the input data.

To represent a cost for a particular [`Component`](@ref), the modeler first chooses one of the variable cost representations in the table below. Then, they wrap this [`ProductionVariableCost`](@ref) in either a [`CostCurve`](@ref) to indicate a cost in currency or in a [`FuelCurve`](@ref) to indicate a cost per unit of fuel plus a fuel cost. Finally, the user creates a domain-specific [`OperationalCost`](@ref) that contains this variable cost as well as other costs that may exist in that domain, such as a fixed cost that is always incurred when the unit is on. For instance, we may have `RenewableGenerationCost(CostCurve(TODO), 0.0)` to represent the cost of a renewable unit that produces at TODO, or `ThermalGenerationCost(; variable = FuelCurve(TODO), fixed = TODO, start_up = TODO, shut_down = TODO)` to represent the cost of a thermal unit that produces at TODO. Below, we give the options for `ProductionVariableCost`s. Information on what domain-specific cost must be provided for a given component type can be found in that component type's documentation.
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Can the TODOs get completed?

op_cost["shut_down"],
)

# TODO implement remaining _convert_op_cost methods
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Does this need to happen?

@@ -1,3 +1,24 @@
# MarketBidCost has two variable costs, here we mean the incremental one
get_generation_variable_cost(cost::MarketBidCost) = get_incremental_offer_curves(cost)
# get_generation_variable_cost(cost::OperationalCost) = get_variable_cost(cost)
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Does this need to stay?

"Variable Cost TimeSeriesKey"
incremental_offer_curves::Union{
Nothing,
IS.TimeSeriesKey,
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What does this become with the new time series features (variable number of key/value pairs)?

get_generation_variable_cost(cost::MarketBidCost) = get_incremental_offer_curves(cost)
# get_generation_variable_cost(cost::OperationalCost) = get_variable_cost(cost)

function _validate_time_series_variable_cost(
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I don't think we are consistent, but we have often followed a convention where checker functions that throw start with check or _check. validate or _validate functions usually return true/false. I'm sure that isn't documented, but we should do it. It helps the reader to know when an exception can get thrown.

power_units::UnitSystem = UnitSystem.NATURAL_UNITS
end

CostCurve(value_curve) = CostCurve(; value_curve)
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Is it painful to implement all of these positional argument constructors? You could require that all cost structs be constructed with kwargs. It might help with consistency.

@@ -0,0 +1,34 @@
"""
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Would it help users to make cost_functions a submodule? Maybe it helps searchability.

cost = PolynomialFunctionData(Dict((i, c / sys_mbase^i) for (i, c) in coeffs))
coeffs = Dict((i, c / sys_mbase^i) for (i, c) in coeffs)
quadratic_degrees = [2, 1, 0]
(keys(coeffs) <= Set(quadratic_degrees)) || throw(
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Is this idiomatic Julia? It also seems more natural to me to say if error-condition throw or error-condition && throw. Asserts use this form.

@@ -1267,7 +1280,8 @@ function make_renewable_generator(
base_power = gen.base_mva
var_cost, fixed, fuel_cost =
calculate_variable_cost(data, gen, cost_colnames, base_power)
operation_cost = TwoPartCost(var_cost, fixed)
@assert fixed == 0 "RenewableGenerationCost cannot have a fixed cost, got $fixed with variable cost $varcost"
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Suggested change
@assert fixed == 0 "RenewableGenerationCost cannot have a fixed cost, got $fixed with variable cost $varcost"
@assert fixed == 0 "RenewableGenerationCost cannot have a fixed cost, got $fixed with variable cost $var_cost"

for T in subtypes(PSY.OperationalCost)
isabstracttype(T) || (@test T(nothing) isa IS.InfrastructureSystemsType)
end
# TODO add concrete subtypes of ProductionVariableCost?
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Does this need to get done?

@jd-lara jd-lara merged commit 48472d2 into psy4 Apr 30, 2024
1 of 8 checks passed
@jd-lara jd-lara deleted the jdgk/cost_functions branch May 21, 2024 19:22
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4 participants