Economic Dispatch - Examples in Julia

Dispatch Model

This example solves the economic dispatch problem with JuMP and HiGHS. The reusable implementation lives in examples/julia/dispatch_model.jl; this section includes that script, defines a small generator fleet, and reports the least-cost dispatch.

include(joinpath(@__DIR__, "..", "..", "examples", "julia", "dispatch_model.jl"))
using .DispatchModel

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The generator data include a zero-marginal-cost wind unit, a low-cost solar unit, and a gas unit that covers the remaining demand.

generators = [
    Generator("wind", 0.0, 35.0),
    Generator("solar", 3.0, 25.0),
    Generator("gas", 75.0, 60.0),
]

demand = 80.0

80.0

The solver chooses generation from the cheapest available units first, while enforcing the demand balance and each unit’s capacity limit.

dispatch = merit_order_dispatch(demand, generators)
cost = total_cost(dispatch, generators)

dispatch, cost

(["wind" => 35.0, "solar" => 25.0, "gas" => 20.0], 1575.0)

The solution uses all available wind and solar output, then dispatches gas for the remaining demand.

for (generator_name, output) in dispatch
    println("$generator_name: $(round(output; digits = 1)) MW")
end

println("Total cost: $(round(cost; digits = 2))")

wind: 35.0 MW
solar: 25.0 MW
gas: 20.0 MW
Total cost: 1575.0

If demand exceeds total available capacity, the model is infeasible and the example raises a clear error.

try
    merit_order_dispatch(200.0, generators)
catch error
    println(error)
end

ArgumentError("demand exceeds available capacity")