-
Notifications
You must be signed in to change notification settings - Fork 37
Expand file tree
/
Copy pathcreate-model.jl
More file actions
311 lines (269 loc) · 9.2 KB
/
Copy pathcreate-model.jl
File metadata and controls
311 lines (269 loc) · 9.2 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
"""
create_model!(energy_problem; kwargs...)
Create the internal model of a [`TulipaEnergyModel.EnergyProblem`](@ref).
Any keyword argument will be passed to the underlying [`create_model`](@ref).
"""
function create_model!(energy_problem; kwargs...)
energy_problem.model, energy_problem.expressions = @timeit to "create_model" create_model(
energy_problem.db_connection,
energy_problem.variables,
energy_problem.constraints,
energy_problem.profiles;
kwargs...,
)
energy_problem.termination_status = JuMP.OPTIMIZE_NOT_CALLED
energy_problem.solved = false
energy_problem.objective_value = NaN
return energy_problem
end
"""
model, expressions = create_model(
connection,
variables,
constraints,
profiles;
optimizer = HiGHS.Optimizer,
optimizer_parameters = default_parameters(optimizer),
model_file_name = "",
enable_names = true
direct_model = false,
)
Create the energy model manually. We recommend using [`create_model!`](@ref) instead.
The `optimizer` argument should be an MILP solver from the JuMP
list of [supported solvers](https://jump.dev/JuMP.jl/stable/installation/#Supported-solvers).
By default we use HiGHS.
The keyword argument `optimizer_parameters` should be passed as a dictionary of `key => value` pairs.
These can be created manually, obtained using [`default_parameters`](@ref), or read from a file
using [`read_parameters_from_file`](@ref).
```julia
parameters = Dict{String,Any}("presolve" => "on", "time_limit" => 60.0, "output_flag" => true)
solve_model(model; optimizer = HiGHS.Optimizer, optimizer_parameters = parameters)
```
Set `enable_names = false` to avoid assigning names to variables and constraints, which improves speed but reduces the readability of log messages.
For more information, see [`JuMP.set_string_names_on_creation`](https://jump.dev/JuMP.jl/stable/api/JuMP/#set_string_names_on_creation).
Set `direct_model = true` to create a JuMP `direct_model` using `optimizer_with_attributes`, which has memory improvements.
For more information, see [`JuMP.direct_model`](https://jump.dev/JuMP.jl/stable/api/JuMP/#direct_model).
"""
function create_model(
connection,
variables,
constraints,
profiles;
optimizer = HiGHS.Optimizer,
optimizer_parameters = default_parameters(optimizer),
model_file_name = "",
enable_names = true,
direct_model = false,
rolling_horizon = false,
rolling_horizon_window_length = 0,
)
if rolling_horizon
@assert rolling_horizon_window_length > 0
end
## Optimizer
optimizer_with_attributes = if rolling_horizon
JuMP.optimizer_with_attributes(() -> POI.Optimizer(optimizer()), optimizer_parameters...)
else
JuMP.optimizer_with_attributes(optimizer, optimizer_parameters...)
end
## Model
if direct_model
model = JuMP.direct_model(optimizer_with_attributes)
else
model = JuMP.Model(optimizer_with_attributes)
end
JuMP.set_string_names_on_creation(model, enable_names)
# Cleanup temporary t_grouped_% tables so they don't conflict with future ones
# t_grouped_% are special because they are created inside the `add_expression_terms_rep_period_constraints`
# and reused if they exist. It's easier to delete them if they exist,
# instead of keeping track of their existence in a possible exception state.
for row in DuckDB.query(connection, "FROM duckdb_tables() WHERE table_name LIKE 't_grouped_%'")
DuckDB.query(connection, "DROP TABLE $(row.table_name)")
end
## Model Parameters
@timeit to "get_model_parameters!" model_parameters = get_model_parameters(connection)
## Variables
@timeit to "add_flow_variables!" add_flow_variables!(connection, model, variables)
@timeit to "add_vintage_flow_variables!" add_vintage_flow_variables!(
connection,
model,
variables,
)
@timeit to "add_investment_variables!" add_investment_variables!(model, variables)
@timeit to "add_decommission_variables!" add_decommission_variables!(model, variables)
@timeit to "add_unit_commitment_variables!" add_unit_commitment_variables!(model, variables)
@timeit to "add_start_up_and_shut_down_variables!" add_start_up_and_shut_down_variables!(
model,
variables,
)
@timeit to "add_power_flow_variables!" add_power_flow_variables!(model, variables)
@timeit to "add_storage_variables!" add_storage_variables!(connection, model, variables)
@timeit to "add_conditional_value_at_risk_variables!" add_conditional_value_at_risk_variables!(
model,
variables,
)
@timeit to "add_expressions_to_constraints!" add_expressions_to_constraints!(
connection,
variables,
constraints,
)
## Rolling Horizon Parameters
if rolling_horizon
add_rolling_horizon_parameters!(
connection,
model,
variables,
profiles,
rolling_horizon_window_length,
)
end
## Expressions
expressions = Dict{Symbol,TulipaExpression}()
## Expressions for multi-year investment
@timeit to "create_multi_year_expressions!" create_multi_year_expressions!(
connection,
model,
variables,
expressions,
)
## Expressions for storage assets
@timeit to "add_storage_expressions!" add_storage_expressions!(connection, model, expressions)
## Tables for the objective function
@timeit to "prepare_objective_tables!" prepare_objective_tables!(connection, model_parameters)
## Expressions for operational costs
@timeit to "add_operational_cost_expressions!" add_operational_cost_expressions!(
connection,
model,
variables,
expressions,
profiles,
)
## Expressions for the objective function
@timeit to "add_objective!" add_objective!(
connection,
model,
variables,
expressions,
model_parameters,
)
## Expressions for the scenario tail excess (conditional value at risk constraints)
@timeit to "add_scenario_tail_excess_expressions!" add_scenario_tail_excess_expressions!(
connection,
model,
variables,
expressions,
)
## Constraints
@timeit to "add_capacity_constraints!" add_capacity_constraints!(
connection,
model,
expressions,
constraints,
profiles,
)
@timeit to "add_energy_constraints!" add_energy_constraints!(
connection,
model,
constraints,
profiles,
)
@timeit to "add_consumer_constraints!" add_consumer_constraints!(
connection,
model,
variables,
constraints,
profiles,
)
@timeit to "add_storage_constraints!" add_storage_constraints!(
connection,
model,
variables,
expressions,
constraints,
profiles;
rolling_horizon,
)
@timeit to "add_conversion_constraints!" add_conversion_constraints!(
connection,
model,
constraints,
)
@timeit to "add_transport_constraints!" add_transport_constraints!(
connection,
model,
variables,
expressions,
constraints,
profiles,
)
@timeit to "add_investment_group_constraints!" add_investment_group_constraints!(
connection,
model,
variables,
constraints,
)
@timeit to "add_ramping_constraints!" add_ramping_constraints!(
connection,
model,
variables,
expressions,
constraints,
profiles,
)
@timeit to "add_min_output_flow_without_unit_commitment_constraints!" add_min_output_flow_without_unit_commitment_constraints!(
connection,
model,
expressions,
constraints,
)
@timeit to "add_flows_relationships_constraints!" add_flows_relationships_constraints!(
connection,
model,
variables,
constraints,
)
@timeit to "add_dc_power_flow_constraints!" add_dc_power_flow_constraints!(
connection,
model,
variables,
constraints,
)
@timeit to "add_vintage_flow_sum_constraints!" add_vintage_flow_sum_constraints!(
connection,
model,
variables,
constraints,
)
@timeit to "add_start_up_upper_bound_constraints!" add_start_up_upper_bound_constraints!(
connection,
model,
variables,
expressions,
constraints,
)
@timeit to "add_shut_down_upper_bound_constraints!" add_shut_down_upper_bound_constraints!(
connection,
model,
variables,
expressions,
constraints,
)
@timeit to "add_uc_logic_constraints!" add_uc_logic_constraints!(
connection,
model,
variables,
expressions,
constraints,
)
@timeit to "add_scenario_tail_excess_constraints!" add_scenario_tail_excess_constraints!(
connection,
model,
variables,
expressions,
constraints,
)
if model_file_name != ""
@timeit to "save model file" JuMP.write_to_file(model, model_file_name)
end
return model, expressions
end