Tidy Matpower Test Cases

docs/src/network-data.md

@@ -92,7 +92,7 @@ The network data dictionary structure is roughly as follows:
 The following commands can be used to explore the network data dictionary generated by a given PTI or Matpower (this example) data file,
 
 ```julia
-network_data = PowerModels.parse_file("nesta_case3_lmbd.m")
+network_data = PowerModels.parse_file("case3.m")
 display(network_data) # raw dictionary
 PowerModels.print_summary(network_data) # quick table-like summary
 PowerModels.component_table(network_data, "bus", ["vmin", "vmax"]) # component data in matrix form
@@ -124,15 +124,15 @@ Data exchange via JSON files is ideal for building algorithms, however it is har
 
 The first of these helper functions are `make_per_unit` and `make_mixed_units`, which convert the units of the data inside a network data dictionary.  The *mixed units* format follows the unit conventions from Matpower and other common power network formats where some of the values are in per unit and others are the true values.  These functions can be used as follows,
 ```
-network_data = PowerModels.parse_file("nesta_case3_lmbd.m")
+network_data = PowerModels.parse_file("case3.m")
 PowerModels.print_summary(network_data) # default per-unit form
 PowerModels.make_mixed_units(network_data)
 PowerModels.print_summary(network_data) # mixed units form
 ```
 
 Another useful helper function is `update_data`, which takes two network data dictionaries and updates the values in the first dictionary with the values from the second dictionary.  This is particularly helpful when applying sparse updates to network data.  A good example is using the solution of one computation to update the data in preparation for a second computation, like so,
 ```
-data = PowerModels.parse_file("nesta_case3_lmbd.m")
+data = PowerModels.parse_file("case3.m")
 opf_result = run_ac_opf(data, IpoptSolver())
 PowerModels.print_summary(opf_result["solution"])
 
@@ -143,7 +143,7 @@ PowerModels.print_summary(pf_result["solution"])
 
 A variety of helper functions are available for processing the topology of the network.  For example, `connected_components` will compute the collections of buses that are connected by branches (i.e. the network's islands).  By default PowerModels will attempt to solve all of the network components simultaneously.  The `select_largest_component` function can be used to only consider the largest component in the network.  Finally the `propagate_topology_status` can be used to explicitly deactivate components that are implicitly inactive due to the status of other components (e.g. deactivating branches based on the status of their connecting buses), like so,
 ```
-data = PowerModels.parse_file("nesta_case3_lmbd.m")
+data = PowerModels.parse_file("case3.m")
 PowerModels.propagate_topology_status(data)
 opf_result = run_ac_opf(data, IpoptSolver())
 ```
@@ -294,5 +294,5 @@ PowerModels also has support for parsing PTI network files in the `.raw` format
 In addition to parsing the standard parameters required by PowerModels for calculations, PowerModels also supports parsing additional data fields that are defined by the PSS(R)E specification, but not used by PowerModels directly. This can be achieved via the `import_all` optional keyword argument in `parse_file` when loading a `.raw` file, e.g.
 
 ```julia
-PowerModels.parse_file("nesta_case3_lmbd.raw"; import_all=true)
+PowerModels.parse_file("case3.raw"; import_all=true)
 ```

docs/src/quickguide.md

@@ -1,32 +1,32 @@
 # Quick Start Guide
 
-Once PowerModels is installed, Ipopt is installed, and a network data file (e.g. `"nesta_case3_lmbd.m"` or `"nesta_case3_lmbd.raw"`) has been acquired, an AC Optimal Power Flow can be executed with,
+Once PowerModels is installed, Ipopt is installed, and a network data file (e.g. `"case3.m"` or `"case3.raw"`) has been acquired, an AC Optimal Power Flow can be executed with,
 
 ```julia
 using PowerModels
 using Ipopt
 
-run_ac_opf("nesta_case3_lmbd.m", IpoptSolver())
+run_ac_opf("case3.m", IpoptSolver())
 ```
 
 Similarly, a DC Optimal Power Flow can be executed with
 
 ```julia
-run_dc_opf("nesta_case3_lmbd.m", IpoptSolver())
+run_dc_opf("case3.m", IpoptSolver())
 ```
 
 PTI `.raw` files in the PSS(R)E v33 specification can be run similarly, e.g. in the case of an AC Optimal Power Flow
 
 ```julia
-run_ac_opf("nesta_case3_lmbd.raw", IpoptSolver())
+run_ac_opf("case3.raw", IpoptSolver())
 ```
 
 ## Getting Results
 
 The run commands in PowerModels return detailed results data in the form of a dictionary. Results dictionaries from either Matpower `.m` or PTI `.raw` files will be identical in format. This dictionary can be saved for further processing as follows,
 
 ```julia
-result = run_ac_opf("nesta_case3_lmbd.m", IpoptSolver())
+result = run_ac_opf("case3.m", IpoptSolver())
 ```
 
 For example, the algorithm's runtime and final objective value can be accessed with,
@@ -52,20 +52,20 @@ The function "run_ac_opf" and "run_dc_opf" are shorthands for a more general for
 For example, `run_ac_opf` is equivalent to,
 
 ```julia
-run_opf("nesta_case3_lmbd.m", ACPPowerModel, IpoptSolver())
+run_opf("case3.m", ACPPowerModel, IpoptSolver())
 ```
 
 where "ACPPowerModel" indicates an AC formulation in polar coordinates.  This more generic `run_opf()` allows one to solve an OPF problem with any power network formulation implemented in PowerModels.  For example, an SOC Optimal Power Flow can be run with,
 
 ```julia
-run_opf("nesta_case3_lmbd.m", SOCWRPowerModel, IpoptSolver())
+run_opf("case3.m", SOCWRPowerModel, IpoptSolver())
 ```
 
 ## Modifying Network Data
 The following example demonstrates one way to perform multiple PowerModels solves while modifing the network data in Julia,
 
 ```julia
-network_data = PowerModels.parse_file("nesta_case3_lmbd.m")
+network_data = PowerModels.parse_file("case3.m")
 
 run_opf(network_data, ACPPowerModel, IpoptSolver())
 
@@ -78,7 +78,7 @@ run_opf(network_data, ACPPowerModel, IpoptSolver())
 Network data parsed from PTI `.raw` files supports data extensions, i.e. data fields that are within the PSS(R)E specification, but not used by PowerModels for calculation. This can be achieve by
 
 ```julia
-network_data = PowerModels.parse_file("nesta_case3_lmbd.raw"; import_all=true)
+network_data = PowerModels.parse_file("case3.raw"; import_all=true)
 ```
 
 This network data can be modified in the same way as the previous Matpower `.m` file example. For additional details about the network data, see the [PowerModels Network Data Format](@ref) section.
@@ -102,7 +102,7 @@ loss_dc =  Dict(name => data["pt"]+data["pf"] for (name, data) in result["soluti
 The following example demonstrates how to break a `run_opf` call into seperate model building and solving steps.  This allows inspection of the JuMP model created by PowerModels for the AC-OPF problem,
 
 ```julia
-pm = build_generic_model("nesta_case3_lmbd.m", ACPPowerModel, PowerModels.post_opf)
+pm = build_generic_model("case3.m", ACPPowerModel, PowerModels.post_opf)
 
 print(pm.model)
 

test/data.jl

@@ -8,25 +8,23 @@
 
         line_count = count(c -> c == '\n', output)
         @test line_count >= 80 && line_count <= 100 
-        @test contains(output, "name: nesta_case5_pjm")
+        @test contains(output, "name: case5")
         @test contains(output, "Table: bus")
         @test contains(output, "Table: load")
         @test contains(output, "Table: gen")
         @test contains(output, "Table: branch")
-        @test contains(output, "Table: areas")
     end
 
     @testset "5-bus summary from file location" begin
         output = sprint(PowerModels.summary, "../test/data/matpower/case5.m")
 
         line_count = count(c -> c == '\n', output)
         @test line_count >= 80 && line_count <= 100 
-        @test contains(output, "name: nesta_case5_pjm")
+        @test contains(output, "name: case5")
         @test contains(output, "Table: bus")
         @test contains(output, "Table: load")
         @test contains(output, "Table: gen")
         @test contains(output, "Table: branch")
-        @test contains(output, "Table: areas")
     end
 
     @testset "5-bus solution summary from dict" begin

test/data/matpower/case14.m

@@ -1,3 +1,5 @@
+% from matpower - http://www.pserc.cornell.edu/matpower/
+
 function mpc = case14
 
 %CASE14    Power flow data for IEEE 14 bus test case.

test/data/matpower/case24.m

@@ -1,8 +1,9 @@
-% based on NESTA v0.6.0 case
+% from pglib-opf - https://github.com/power-grid-lib/pglib-opf
 % tests missing angmin,angmax data correction
 % tests branch orientation data correction
+% tests mpc.areas
 
-function mpc = nesta_case24_ieee_rts__sad
+function mpc = case24
 mpc.version = '2';
 mpc.baseMVA = 100.0;
 

test/data/matpower/case3.m

@@ -2,7 +2,7 @@
 % tests refrence bus detection
 % tests basic ac and hvdc modeling
 % tests when gencost is present but not dclinecost
-% based on nesta_case3_lmbd from NESTA v0.6.0
+
 function mpc = case3
 mpc.version = '2';
 mpc.baseMVA = 100.0;

test/data/matpower/case30.m

@@ -1,5 +1,6 @@
-% NESTA v0.6.0
-function mpc = nesta_case30_ieee
+% from pglib-opf - https://github.com/power-grid-lib/pglib-opf
+
+function mpc = case30
 mpc.version = '2';
 mpc.baseMVA = 100.0;
 

test/data/matpower/case3_tnep.m

@@ -1,5 +1,6 @@
-% based on NESTA v0.6.0
-function mpc = case3_lmbd_tnep
+% tests extra data needed for tnep problems
+
+function mpc = case3_tnep
 mpc.version = '2';
 mpc.baseMVA = 100.0;
 

test/data/matpower/case5.m

@@ -1,20 +1,12 @@
-% NESTA v0.6.0
 % used in tests of,
 % - non-contiguous bus ids
 % - tranformer orentation swapping
 % - dual values 
-%
 
-function mpc = nesta_case5_pjm
+function mpc = case5
 mpc.version = '2';
 mpc.baseMVA = 100.0;
 
-%% area data
-%	area	refbus
-mpc.areas = [
-	1	 4;
-];
-
 %% bus data
 %	bus_i	type	Pd	Qd	Gs	Bs	area	Vm	Va	baseKV	zone	Vmax	Vmin
 mpc.bus = [

test/data/matpower/case5_asym.m

@@ -1,4 +1,5 @@
-% NESTA v0.6.0
+% tests asymetrical branch phase angle differences
+
 function mpc = case5_asym
 mpc.version = '2';
 mpc.baseMVA = 100.0;

test/data/matpower/case5_dc.m

@@ -1,8 +1,7 @@
-% based on NESTA v0.6.0
 % tests dc line with costs
 % tests generator and dc line voltage setpoint warnings
 
-function mpc = nesta_case5_pjm
+function mpc = case5_dc
 mpc.version = '2';
 mpc.baseMVA = 100.0;
 

test/data/matpower/case5_pwlc.m

@@ -1,16 +1,9 @@
-% NESTA v0.6.0
-% tests non-contiguous bus ids
+% tests pwl cost functions
 
-function mpc = nesta_case5_pjm
+function mpc = case5_pwlc
 mpc.version = '2';
 mpc.baseMVA = 100.0;
 
-%% area data
-%	area	refbus
-mpc.areas = [
-	1	 4;
-];
-
 %% bus data
 %	bus_i	type	Pd	Qd	Gs	Bs	area	Vm	Va	baseKV	zone	Vmax	Vmin
 mpc.bus = [

test/data/matpower/case5_tnep.m

@@ -1,14 +1,9 @@
-% based on NESTA v0.6.0
-function mpc = case5_pjm_tnep
+% tests extra data needed for tnep problems
+
+function mpc = case5_tnep
 mpc.version = '2';
 mpc.baseMVA = 100.0;
 
-%% area data
-%	area	refbus
-mpc.areas = [
-	1	 4;
-];
-
 %% bus data
 %	bus_i	type	Pd	Qd	Gs	Bs	area	Vm	Va	baseKV	zone	Vmax	Vmin
 mpc.bus = [

test/data/matpower/case6.m

@@ -1,7 +1,7 @@
 % Case to test two connected components in the network data
-% the case is two replicates of the nesta_case3_lmbd network
+% the case is two replicates of the case3 network
 
-function mpc = nesta_case3_lmbd_2x
+function mpc = case6
 mpc.version = '2';
 mpc.baseMVA = 100.0;