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FIX: Voltage at virtual_sourcebus should be fixed #248

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merged 1 commit into from
Feb 20, 2020

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Because the sourcebus is a voltage source with an internal impedance
that we model as a virtual sourcebus connected to a virtual branch
connected to the real sourcebus, the virtual sourcebus should have
a fixed voltage.

To remedy this, vmin and vmax at the virtual_sourcebus are fixed
to vm, i.e. vmin==vmax==vm.

Only three OPF test cases needed to be updated, and none of the
voltages in those test cases needed to change:

  • 2-bus diagonal acp opf
  • 3-bus balanced acp opf
  • 3-bus unbalanced isc acp opf

Updates unit tests and changelog

Closes #246

Because the sourcebus is a voltage source with an internal impedance
that we model as a virtual sourcebus connected to a virtual branch
connected to the real sourcebus, the virtual sourcebus should have
a fixed voltage.

To remedy this, `vmin` and `vmax` at the virtual_sourcebus are fixed
to `vm`, i.e. `vmin==vmax==vm`.

Only three OPF test cases needed to be updated, and none of the
voltages in those test cases needed to change:

- 2-bus diagonal acp opf
- 3-bus balanced acp opf
- 3-bus unbalanced isc acp opf

Updates unit tests and changelog
@pseudocubic pseudocubic added Type: Bug Something isn't working Category: Data Parsers parser issues Category: Data Models Data Models labels Feb 20, 2020
@pseudocubic pseudocubic added this to the v0.9.0 milestone Feb 20, 2020
@pseudocubic pseudocubic self-assigned this Feb 20, 2020
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codecov bot commented Feb 20, 2020

Codecov Report

Merging #248 into master will increase coverage by 2.35%.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #248      +/-   ##
==========================================
+ Coverage   67.54%   69.90%   +2.35%     
==========================================
  Files          38       38              
  Lines        4785     5190     +405     
==========================================
+ Hits         3232     3628     +396     
- Misses       1553     1562       +9     
Impacted Files Coverage Δ
src/io/dss_structs.jl 75.26% <0.00%> (-2.58%) ⬇️
src/io/dss_parse.jl 91.68% <0.00%> (-0.08%) ⬇️
src/form/bf.jl 100.00% <0.00%> (ø) ⬆️
src/core/export.jl 100.00% <0.00%> (ø) ⬆️
src/core/variable.jl 92.00% <0.00%> (+0.17%) ⬆️
src/core/constraint_template.jl 82.57% <0.00%> (+0.20%) ⬆️
src/io/common.jl 95.45% <0.00%> (+0.21%) ⬆️
src/io/opendss.jl 96.63% <0.00%> (+0.30%) ⬆️
src/prob/opf.jl 93.75% <0.00%> (+1.15%) ⬆️
src/prob/mld.jl 92.00% <0.00%> (+1.52%) ⬆️
... and 14 more

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@pseudocubic pseudocubic merged commit 174ce1f into master Feb 20, 2020
@pseudocubic pseudocubic deleted the bug/sourcebus-voltage-limits branch February 20, 2020 17:14
pseudocubic added a commit that referenced this pull request May 13, 2020
This PR contains the result of a refactor of the default user-facing data model in PowerModelsDistribution to a new `ENGINEERING` data model

A merge of this PR will result in the v0.9.0 release of PowerModelsDistribution

# What is the New Data Model

We have designed a data model that more closely matches the engineering realities of a distribution network, that allows for easy transformation and visualization of the case and includes more component types than are represented in the original (and still existing under the hood) `MATHEMATICAL` data model with which previous users will be familiar.

The new data model is documented in detail in the documentation, including all of the currently supported component types are their individual fields, the types of values, and any defaults we might assume.

# Why Do We Need a New Data Model?

In distribution networks the variety of components in a standard network is much more diverse than in a traditional transmission network, and their mathematical representations are comparatively complex. For example, in order to represent n-winding multiphase transformers with loss models we have to represent a single transformer with a large number of lines, buses, and lossless 2-winding transformers, which previously users have found confusing when attempting to compare their parsed network to the originating file. To simplify the user experience, and to introduce the ability to easily make transformations of the networks, we formulated the `ENGINEERING` data model.

# How Does It Work?

For the most part, the commands that you were using before will not change appreciably. `parse_file` is still the standard way to import data, `run_mc_` commands will still run problem specifications, and PowerModel types should not be different at all. The workflow for most users should be identical; although there are now some intermediate steps to building the JuMP model from the default data dictionary, these steps should be largely invisible to the user unless they want to expose them. Users should experience the following workflow by default:

`parse_file` returns `ENGINEERING` data model -> `run_mc_{}` runs optimization problem and returns result in `ENGINEERING` model format

What is happening behind the scenes is the following:

`parse_file` returns `ENGINEERING` data model -> `run_mc_{}` converts to `MATHEMATICAL` data model in per-unit, builds JuMP model, runs optimization, converts results in `MATHEMATICAL` model format to SI units and converts back to `ENGINEERING` format.

We have exposed to the user the functions that do these conversions if they wish to use them, and have provided examples in Jupyter Notebooks in the `/examples` folder that demonstrates both of these types of workflows.

# If the user experience is the same, what changed besides the default model?

There were a multitude of changes that happened in order to support the functionality for this new data model, as well as some other changes that address concerns and comments of users

- We have eliminated some problem types. This is perhaps one of the biggest changes users will notice; variants of problems like `run_mc_opf_iv` and `run_mc_opf_bf` are eliminated in favor of having users use `run_mc_opf` only, and redirecting to the appropriate problem definitions using multiple dispatch. The only variants that should continue to exist are truly unique problem specifications, _e.g._ `run_mc_opf_oltc` or `run_mc_mld`, etc.
- We have changed the names of variable and constraint functions to support PowerModels v0.17
- We have updated the solution building to use the capabilities in InfrastructureModels v0.5
- We have made updates to the mathematical models for transformers to make them more accurate
- We have added new capabilities to the DSS parser, parsing additional components such as loadshapes, xycurves, xfmrcodes
- We have squashed a lot of outstanding bugs in the DSS parser
- We have ensured that the component naming conventions, particularly for virtual components in the `MATHEMATICAL` model, are consistent across the package
- We have added helper functions to create models from the REPL or scripts, _e.g._ `Model`, `add_bus!`, etc., rather than rely solely on dss inputs (see notebook in `/examples`)
- `parse_dss` originally followed a similar parsing pattern as `parse_pti` in PowerModels, parsing component dictionaries into Vectors. Instead, we now parse into a structure that is much closer to the final data structures that users utilize, in order to make debugging and future parsing easier
- fixed broken SDP/SOC relaxations (see #262)

# Feature X that I want isn't in the new data model

Definitely make a new Github Issue. We view any additions to the data model to be additive and therefore not a breaking change, which means we can make rapid releases containing those additions without any problem.

# Related Issues

Closes #221
Closes #256
Closes #260
Closes #242
Closes #245
Closes #33
Closes #249
Closes #253
Closes #193
Closes #257
Closes #246
Closes #248
Closes #247
Closes #252
Closes #175
Closes #251
Closes #234
Closes #238
Closes #240
Closes #236
Closes #237
Closes #230
Closes #239
Closes #243
Closes #227
Closes #264
Closes #235
Closes #56
Closes #274

Co-authored-by: Sander Claeys <[email protected]>
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ideal voltage source modelling
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