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Fix Bugs/Issues of PowerFlow #45

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merged 8 commits into from
Aug 12, 2024
Merged

Fix Bugs/Issues of PowerFlow #45

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30c345e
use function for initializing data
rodrigomha Aug 6, 2024
518b14d
fix redistribution of Q
rodrigomha Aug 6, 2024
23d0162
add reciprocal for DC PowerFlow branches
rodrigomha Aug 6, 2024
b520c2b
update tests
rodrigomha Aug 7, 2024
8137ac6
update to_from dc testing
rodrigomha Aug 12, 2024
392da2f
add iterations kwarg to redistribution
rodrigomha Aug 12, 2024
5b6589d
add default const
rodrigomha Aug 12, 2024
e04428c
remove kwarg
rodrigomha Aug 12, 2024
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9 changes: 3 additions & 6 deletions test/test_dc_powerflow.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -28,8 +28,7 @@
# CASE 1: ABA and BA matrices
solved_data_ABA = solve_powerflow(DCPowerFlow(), sys)
@test isapprox(
solved_data_ABA["1"]["flow_results"].P_from_to +
solved_data_ABA["1"]["flow_results"].P_to_from,
solved_data_ABA["1"]["flow_results"].P_from_to,
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ref_flow_values,
atol = 1e-6,
)
Expand All @@ -38,8 +37,7 @@
# CASE 2: PTDF and ABA MATRICES
solved_data_PTDF = solve_powerflow(PTDFDCPowerFlow(), sys)
@test isapprox(
solved_data_PTDF["1"]["flow_results"].P_from_to +
solved_data_PTDF["1"]["flow_results"].P_to_from,
solved_data_PTDF["1"]["flow_results"].P_from_to,
ref_flow_values,
atol = 1e-6,
)
Expand All @@ -48,8 +46,7 @@
# CASE 3: VirtualPTDF and ABA MATRICES
solved_data_vPTDF = solve_powerflow(vPTDFDCPowerFlow(), sys)
@test isapprox(
solved_data_vPTDF["1"]["flow_results"].P_from_to +
solved_data_vPTDF["1"]["flow_results"].P_to_from,
solved_data_vPTDF["1"]["flow_results"].P_from_to,
ref_flow_values,
atol = 1e-6,
)
Expand Down
12 changes: 3 additions & 9 deletions test/test_multiperiod_dc_powerflow.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -56,25 +56,19 @@

# case 1
for i in 1:length(data_1.timestep_map)
flow_from_to = results_1[data_1.timestep_map[i]]["flow_results"].P_from_to
flow_to_from = results_1[data_1.timestep_map[i]]["flow_results"].P_to_from
net_flow = flow_from_to + flow_to_from
net_flow = results_1[data_1.timestep_map[i]]["flow_results"].P_from_to
@test isapprox(net_flow, flows[:, i], atol = 1e-5)
end

# case 2
for i in 1:length(data_1.timestep_map)
flow_from_to = results_1[data_2.timestep_map[i]]["flow_results"].P_from_to
flow_to_from = results_1[data_2.timestep_map[i]]["flow_results"].P_to_from
net_flow = flow_from_to + flow_to_from
net_flow = results_1[data_2.timestep_map[i]]["flow_results"].P_from_to
@test isapprox(net_flow, flows[:, i], atol = 1e-5)
end

# case 3
for i in 1:length(data_1.timestep_map)
flow_from_to = results_1[data_3.timestep_map[i]]["flow_results"].P_from_to
flow_to_from = results_1[data_3.timestep_map[i]]["flow_results"].P_to_from
net_flow = flow_from_to + flow_to_from
net_flow = results_1[data_3.timestep_map[i]]["flow_results"].P_from_to
@test isapprox(net_flow, flows[:, i], atol = 1e-5)
end
end
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