Switch-model

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2.0.8

-------------------------------------------------------------------------------
This release includes several new features, bug fixes and compatibility
improvements. It should have minimal effect on results from existing models
other than some improvements and bug fixes in the electricity_cost.csv output
file.

The updates are summarized below. For more details, see the [git commit log](https://github.com/switch-model/switch/blob/master/updates208.txt).

**Changes that may affect existing models and results**

- In Switch 2.0.7 and earlier, the `SystemCostPerPeriod_Real` column in
`outputs/electricity_cost.csv` was a (mislabeled) annual cost but
`SystemDemand_MWh` was a total for the whole period. The
`EnergyCostReal_per_MWh` was calculated as the ratio of these, making it too
low by a factor equal to the number of years in the period. Starting with
Switch 2.0.8, we report both costs and quantities on a per-year basis
(`SystemCostPerYear_Real` and `SystemDemandPerYear_MWh`), and the error in
`EnergyCostReal_per_MWh` has been corrected.
- Pyomo dependencies have been updated to to versions 6.0.0-6.7.1 (the current
latest version).
- If you are using Pyomo 5.7, you will need to update to at least 6.0. This
change was made to avoid complex dependencies on `pyutilib`.
- Made `--no-save-solution` the default behavior, so the large `results.pickle`
file will not be written unless requested. Users who have previously set this
flag should now remove it. Users who need the `results.pickle` file (sometimes
useful for reloading and inspecting a previous solution, with
`--reload-prior-solution`) should add the new `--save-solution-file` flag.
- Fixed a bug in `hawaii.save_results` that erroneously grouped all generators
into the same zone in `capacity_used_by_technology.csv` and
`production_by_technology.csv`
- `build_gen.csv` will now contain a `.` instead of `0.0` for periods when
generators can't be built
- Fixed a bug that previously crashed Switch when using the gurobi or cplex
solver without any suffixes.
- Fixed a bug that previously dropped users into a debugging terminal when
an infeasible model was encountered.
- Fixed a bug that crashed `hawaii.save_results` if the model did not use the
`transmission.local_td` module
- Fixed bugs in `balancing.diagnose_infeasibility` that would crash when
analyzing singleton constraints or constraints formulated as (lower_bound,
expression, upper_bound).

**New features**

- Added a hydrogen production module. This produces a fuel (by default called
"Hydrogen") that can be used by any generator.
- There is assumed to be one set of hydrogen production equipment per load
zone, and one possible cost for each component, regardless of location.
Hydrogen production equipment, once built, continues to the end of the study
(similar to transmission infrastructure).
- This feature can be turned on by adding
`switch_model.energy_sources.hydrogen.production` to your module list and
adding parameters for each production component to `inputs/hydrogen.csv`.
- Components include
- electrolyzer (cost per MW power rating and per kg produced, kg of hydrogen
produced per MWh of power consumed, lifespan),
- liquefier/refrigerator (capital and fixed costs per kg/hr of capacity,
variable cost per kg produced, MWh of electricity required per kg
liquefied, lifespan) and
- liquid storage tank (cost per kg of capacity, lifespan).
- The module is designed to represent storage of liquefied hydrogen in
NASA-type above ground tanks, but it can be used to represent compressed
hydrogen storage instead by setting the liquefier energy requirement and
cost to zero, so compressed hydrogen can be stored as if there were no cost
for liquefication.
- This module assumes production within the day can be used without a tank,
but any surplus or shortfall for the day must be moved to a tank, and the
tank must be large enough to hold all the withdrawals for the whole year.
This formulation will work regardless of the actual order of removals, so it
avoids the need to link sequences of days. However, if tank costs are high,
it may be overly conservative.
- If using this module with multi-day timeseries, you should fill in date
markers in the `td_date` column of `inputs/timepoints.csv` (see below).
- An example implementation can be found in
[`examples/hydrogen`](https://github.com/switch-model/switch/tree/master/examples/hydrogen)
- Future work could extend this to allow different costs for different
locaitons and vintages, retire components at end of life, allow multiple
production facilities per zone, better represent compressed (not liquefied)
storage and consider the sequence of dates in the year when setting the tank
size.
- Added option to perform optimal early retirement and suspension for generators
- Setting `gen_can_retire_early` or `gen_can_suspend` flags in `gen_info.csv`
to `True` or `1` now allows generators to be retired permanently or
temporarily suspended before they reach their maximum age. In both cases,
the amount of capacity of a particular vintage that is offline in a given
period will be shown by the new `SuspendGen` variable. These both default to
`False`/`0`, and `gen_can_suspend` will take precedence (temporary
suspension will be allowed) if both are set to `True`/`1`.
- The `GenCapacity` expression now reports only capacity that has not been
suspended, and a new column in `gen_cap.csv`, `SuspendGen_total`, shows the
total capacity in each generation project that is suspended/inactive in each
period.
- Suspended generators avoid fixed O&M costs, but must continue to pay
capital recovery (amortized capital costs) as normal.
- Added generator retrofit capability via a new
`switch_model.generators.extensions.retrofit` module. This makes it possible
to define retrofit generators that supersede existing generators.
- Retrofit options are implemented by defining a new generation project that
can replace a previously built one (i.e., it performs like the original
generator plus the retrofit) and adding columns to `gen_retrofits.csv`
showing all allowed combinations of base projects that can be replaced by
retrofit projects. In each row, `base_gen_project` shows the name of the
original (base) project and `retrofit_gen_project` shows the name of a
retrofit project that can replace it.
- Retrofit projects will only be built if the base project has also been built
in the same or an earlier period. When a base project is retrofitted, the
base project is suspended (via SuspendGen) and the retrofit version is built
and operated instead. In addition, retrofit projects are automatically
suspended at the end of life of the base project. (To enable these
behaviors, `gen_can_retire_early` or `gen_can_suspend` must be set to `True`
or `1` in `gen_info.csv` for both the base project and the retrofit
version.)
- Because of this framing, retrofitted projects will have capital expenditure
equal to the capital recovery for the base project plus capital recovery for
the retrofit project. So gen_overnight_cost for the retrofit project should be
set equal to the cost of the retrofit work, not the combined project. However,
fixed and variable O&M will no longer be collected for the base project, so
O&M cost inputs for the retrofit project should be the ones that apply for the
total retrofitted project.
- Capital recovery for the retrofitted project will be amortized over the
remaining life of the base project that it replaces, which may cause faster
capital recovery than would otherwise be expected for these assets.
- A working example is available in
[`examples/retrofits`](https://github.com/switch-model/switch/tree/master/examples/retrofits)
- Added `tp_date` parameter to identify which date each timepoint falls on. This is
used by modules that enforce constraints between hours of the same date (e.g.,
hydrogen production or intra-day demand response). It defaults to be the same as
the timeseries (the previous behavior), which works fine if each timeseries is
one day long. But if models use multi-day timeseries, they should specify a
code for the corresponding date for each timepoint in the `tp_date` column of
`inputs/timepoints.csv`.
- Added `--retire {early, mid, late}` command-line flag. This flag controls
whether to retire projects at the start of the period when they reach
end-of-life ('early') (i.e., only run if they survive to the end of the
period), or retire them if they survive past the middle of the period ('mid'),
or extend operation to the end of the period when they reach end-of-life
('late'). Late is the default and matches previous behavior by Switch. Early
and mid match some other models' behavior. Note that `early` requires that a
project's life extends not just up to the end of the period, but beyond it
into the next period, or else it will retire at the start of the period.
- Added a new, optional `gen_storage_energy_fixed_om` parameter to
`gen_build_costs.csv` to indicate fixed O&M costs for the energy component of
storage projects. Note that no column is needed for variable O&M for the
energy component, because this is already covered by `gen_variable_om` for the
power component.
- Switch now allows negative values for fixed and variable O&M for generators.
These can be useful for representing subsidies that produce net-negative
carrying or operating costs.
- Switch is now compatible with `appsi_highs` and other [appsi_*](https://pyomo.readthedocs.io/en/stable/library_reference/appsi/appsi.solvers.html) solvers.
- HiGHS is one of the fastest open-source solvers we have found for
medium-sized models.
- To use HiGHS, first install Switch following the standard
instructions, then install HiGHS itself into your environment via either a
binary download or `conda install highs`, then install the HiGHS-Python
bindings into your environment via `pip install highspy`, then run with
`--solver appsi_highs`. (It is also possible to download an AMPL-compatible
version of HiGHS from https://portal.ampl.com/user/ampl/download/highs,
place it in your path and then set --solver highs.)
- `appsi_highs` requires Pyomo 6.4.3 or later. The ampl version of HiGHS can
be used with any version of Pyomo.
- CBC is another of the fastest open-source solvers we have found for
medium-sized models. It can be installed on Linux and macOS via
`conda install coincbc`, then use `--solver cbc` or `--solver appsi_cbc`.
It currently has [limited availability](https://stackoverflow.com/questions/58868054/how-to-install-coincbc-using-conda-in-windows) for Windows.


-------------------------------------------------------------------------------

2.0.7

-------------------------------------------------------------------------------
This release includes a large number of new features and compatibility and
stability improvements. It should have minimal effect on results from existing
models. Huge thanks are due to Josiah Johnston for most of these changes and to
new contributors Desmond Zhong, Brad Venner and Martin Staadecker.

The updates are summarized below. For more details, see the [git commit log](https://github.com/switch-model/switch/blob/master/updates207.txt).

**Changes that may affect existing models and results**

- Changed Pyomo dependencies to versions 5.7.0-6.4.2. This has a few implications:
- All previous users of Switch will need to upgrade their Pyomo installation,
since Switch 2.0.6 was only compatible up through Pyomo 5.6.8. The upgrade
to 5.7.0 is needed to get around a bug in Pyomo 5.6.8 and earlier that would
incorrectly treat invalid optional data as missing data. If you have invalid
data in optional columns, you may now receive error messages instead of it
being silently ignored.
- Note that Pyomo versions before 5.7.3 don't work with CPLEX version 12.10 or
later (see https://github.com/Pyomo/pyomo/pull/1792). If using a recent
version of CPLEX, you should ensure that you also use version 5.7.3 or later
of Pyomo.
- If you have older models or custom modules, you should make the following
changes to ensure compatibility with more recent versions of Pyomo:
- assign `dimen` values for all Pyomo Sets.
- initialize Pyomo Sets using ordered containers, not Python sets.
(`switch_model.utilities.unique_list` can be useful for this)
- explicitly specify a `within` domain for all Pyomo Sets and Params
- don't use `+inf`, `-inf`, `+infinity`, `-infinity` or `nan` in input files
(in some cases, one of these may be the default value for a parameter, so
the input value can be specified as `.` instead)
- The `generation_projects_info.csv` input file has been renamed to
`gen_info.csv`. The new name is more consistent with other file names, which
generally start with "gen_", and may be easier to remember and view in editor
tabs. Switch 2.0.7 will offer to automatically update this file (and
others) the first time it is run with an version 2.0.6 inputs directory.
- The `gen_predetermined_cap` column has been renamed to
`build_gen_predetermined` in `gen_build_predetermined.csv`. This is more
consistent with the new `build_gen_energy_predetermined` column, and the use
of 'build' in the names makes it clearer that these columns show the amount of
new capacity built in each year, not the total amount of capacity in place
that year.
- The `distribution_loss_rate` column has been moved from the `trans_params.csv`
input file to `load_zones.csv` and renamed `local_td_loss_rate`. This makes
the name more accurate and allows it to be varied between load_zones.
- The `gen_multiple_fuels.dat` input file has been replaced with
`gen_multiple_fuels.csv`. Users should update their model setup scripts to
create the new file. The .csv file should have two columns: `GENERATION_PROJECT`
and `fuel`. It should have one row for each allowed fuel for each multi-fuel
generator.
- The `dispatch-wide.csv` output file has been renamed `dispatch_wide.csv`.
- An extra "m" has been removed from the names of the
`cumulative_capacity_by_tech_periods.csv` and
`cumulative_transmission_by_path_periods.csv` output files produced by the
`reporting.basic_exports` module.
- Switch now implements a check for bidirectional transmission lines being
specified in input files, so the implementation matches documentation.
- Switch no longer uses the `auto_select`/`autoselect` argument in calls to
`switch_data.load_aug`. Columns are always auto-selected now unless a 'select'
argument is passed. You should remove this argument from any custom modules
you use.
- Curtailable storage charging is now included as a form of reserves in the
`spinning_reserves` module, matching the `spinning_reserves_advanced` module.
This may change the results from models that use storage with the
`spinning_reserve` module.
- `balancing.demand_response_simple` now defaults to providing `'spinning'`
reserves if a reserve module is loaded, otherwise providing no reserves.
- `balancing.demand_response.iterative` now works with `spinning_reserves_advanced`,
including a `--demand-response-reserve-types` flag. It also now reports final
results in a file with no iteration number at the end.
- The internal `zone_rfm` component has been renamed to `zone_fuel_rfm` to make
it more clear that it identifies the rfm for each zone-fuel combination.
- The output file `gen_cap.csv` now reports storage energy capacity (MWh) in
place during each study period, in addition to power capacity (MW) in place.
It also includes the capital recovery for the storage MWh in the reported
annual capital recovery (previously omitted). The `GenCapitalCosts` column in
this file has been renamed to `GenCapitalRecovery` to clarify that it is the
amortized capital repayment that occurs for each project during each year, and
distinguish it from capital outlay that occurs when the project is first built
and is later recovered over time via the GenCapitalRecovery.
- The new `gen_build.csv` output file shows the amount of power (MW) and storage
(MWh) capacity _added_ during each period. This also shows the total capital
outlay needed for these additions. Switch uses capital outlay to calculate
annual capital recovery requirements, then includes capital recovery each
period in the system cost that it optimizes. Switch doesn't use the capital
outlay for anything except calculating the annual capital recovery required.
However, capital outlay may be of interest to planners.
- Switch no longer produces the `storage_builds.csv` output file, since the
information from this file is now shown in `gen_build.csv` and `gen_cap.csv`.
- When using the `balancing.unserved_load` module and the
`transmission.local_td` module, unserved load is now applied at the
distribution node instead of the zone backbone node. This clarifies
supply-demand balance and avoids some cases where reducing the load at the
backbone may not be enough to avoid infeasibility. This may slightly change
the unserved load and total cost reported in those models, due to avoiding
the need for local transmission and distribution to meet the unserved portion
of load.
- Switch now gives a more compact description of the location of errors when
they occur. If you would like to see the full Python traceback (the former
behavior), use the new `--full-traceback` flag.
- The `balancing.planning_reserves` module previously assigned a default
capacity value for solar plants that could not exceed 1, even in timepoints
when the capacity factor was greater than 1.0. We now allow values greater
than 1 when calculating the default value for this parameter.
- The `--sorted-output` flag is applied more universally. This ensures most
outputs will be sorted when requested, including `dispatch.csv`,
`dispatch_wide.csv` (columns), `gen_cap.csv`,
`gen_project_annual_summary.csv`, `load_balance.csv`,
`local_td_energy_balance.csv`, `local_td_energy_balance_wide.csv` and
`transmission.csv`. Previous versions did not use this flag so universally, so
you may find the order of some outputs changes when you upgrade.


**New features**

- new `--log-level` flag can be set to `error`, `warning`, `info` or `debug` to
receive varying amounts of information about the model run. `--verbose` is a
now a synonym for `--log-level info`, and `--quiet` is equivalent to
`--log-level warning` (default). Definitions of the levels are as follows:
- `error`: may be used to give extra explanation when an exception is raised
- `warning`: warn user about behavior that is most likely wrong but not enough
to cause an exception (default output level, so users will see this for
most models)
- `info`: high-level progress log; used to follow progress of the model
without seeing every detail
- `debug`: detailed diagnostic data (e.g., recommend improved practices for
input data files even if the current files are officially acceptable)
- A new module `balancing.diagnose_infeasibility` can be used to help diagnose
infeasible models, generally caused by inconsistent input data. This module
relaxes all constraints, making any model feasible, then seeks to minimize all
constraint violations, then reports which constraints are violated. Users can
use a `--no-relax CONSTRAINT1 [CONSTRAINT2 ...]` argument to selectively turn
some constraints back on, to identify combinations of constraints that cannot
be enforced simultaneously. This is similar to CPLEX's irreducibly infeasible
set (IIS) feature, but faster and simpler and works with all solvers.
- Energy balance of the local T&D node is now exported to
`local_td_energy_balance.csv` and `local_td_energy_balance_wide.csv`.
- Updated simple_hydro to model spillways, allowing river flow to exceed the
capacity of the generator & reservoir.
- Storage decisions are now shown in dispatch-related output files if the
storage module is included.
- Expanded export from the generator dispatch module to simplify analysis.
`gen_project_annual_summary.csv` shows energy production, emissions, capacity
online, capital and O&M costs, levelized cost of energy, capacity factor and
storage utilization for each generation project for each study year.
`dispatch_zonal_annual_summary.csv` shows the same information per technology
per load zone. `dispatch_annual_summary.csv` shows the same information per
technology, aggregated across the entire region.
- Implemented predetermined energy capacity for storage, a parallel to
predetermined power capacity. This is specified in MWh in a new
`build_gen_energy_predetermined` column in `gen_build_predetermined.csv`. It
should be left blank (".") for non-storage projects, or you may omit the
column if your model has no storage projects.
- Added new command-line option `--input-alias` or `--input-aliases`. This
allows users to specify replacements for individual input files to use in the
current run. e.g., `--input-alias fuel_cost.csv=fuel_cost_high.csv` would use
the `fuel_cost_high.csv` file instead of `fuel_cost.csv` in the current run.
This can be used with one or more substitutions and can be repeated:
`--input-alias[es]` `file1.csv=file1.alternate.csv`
`[file2.csv=file2.alternate.csv, ...]`. These are applied as a simple
replacement on the filename, then added onto the directory specified with
`--inputs-dir`. So usually the replacement will occur within the
`--inputs-dir`, but users can specify `some_dir/file.csv` or
`../some_other_dir/file.csv` in the alias to refer to files in other
directories relative to the normal location of the file. Filename `none` will
cause the file to be ignored.
- When using the `hawaii.ev` module, users can now split the EV fleet between
different charging modes using the `--ev-timing` flag: `--ev-timing EV_TIMING
[EV_TIMING ...]`. Each EV_TIMING entry consists of a mode and optionally a
share, e.g., `--ev-timing bau` charges all vehicles in `bau` mode or
`--ev-timing bau=0.32 optimal=0.68` splits the fleet between `bau` and
`optimal` mode. Modes are `bau`=business-as-usual (upon arrival), `flat`=around
the clock, or `optimal` (default). If modes are specified without shares
assigned, they will receive equal fractions of the unallocated charging.
- It is now possible to put comments on the same line as data in `modules.txt`,
`options.txt` and `scenarios.txt`. This can be done by placing a `` followed
by the comment at the end of the line.
- Zero-weight timeseries are now allowed. These are useful for modeling rare,
worst-case days or including worse-than-worst (non-real) days as a form of
planning reserves.
- It is now possible to assign different fuel costs for each timepoint by using
`energy_sources.fuel_costs.simple_per_timepoint` instead of
`energy_sources.fuel_costs.simple`. It is also possible to set prices on
different timescales (e.g., per timeseries) by assigning the same price to all
timepoints in that period. This file reads input file
`fuel_cost_per_timepoint.csv`, which should have these columns:
`fuel_cost_per_timepoint.csv` `load_zone`, `fuel`, `period`,
`fuel_cost_per_timepoint`.
- The new `fuel_costs.markets_expansion` module allows capacity expansion of
fuel markets. If using this module, you should add columns
`rfm_supply_tier_fixed_cost` and `rfm_supply_tier_max_age` to the
`fuel_supply_curves.csv` input file. These can be specified as `.` for tiers
that are already available. For candidate tiers that may or may not be built,
the `rfm_supply_tier_fixed_cost` specifies the fixed cost per MMBtu of fuel
supply made _available_ by that tier (not necessarily used) and
`rfm_supply_tier_max_age` specifies the life of the tier if it is activated.
This module is useful for considering investments in infrastructure that will
expand the availability of fuels, such as a liquified natural gas (LNG)
terminal. By testing tiers with different lives (and therefore different costs
per MMBtu of fuel made available), it is possible to assess questions such as
whether early fuel infrastructure investment will crowd out later renewable
deployment. If the power system being studied will block use of a fuel after a
certain date, then `rfm_supply_tier_max_age` should end before that date, to
ensure that stranded costs after the end of the study are not omitted from the
study. To do this, it may be necessary to add side constraints to prevent use
of long-lived tiers after certain dates. The `No_LNG_In_100_RPS` constraint in
`switch_model.hawaii.lng_conversion` shows an example of this.
- The new `transmission.copperplate` module can be used to enable unlimited
power transfer between zones at no cost.
- Switch now allows general-purpose models with no zonal power demand and no
power system components. This can be useful, e.g., for studying gas networks
independently from the electricity system.
- Progress in constructing model components is reported in 10% steps if
`--log-level` is `info`. If `--log-level` is `debug`, these steps are shown
along with timing to construct each individual component. Constructing model
components is one of the lengthiest steps in Switch, so this gives more
reassurance that something is happening.
- New command line option `--skip-generic-output` tells `switch_model.reporting`
not to save data for each model variable after the plan is optimized. These
files can also be excluded by omitting the `switch_model.reporting` module
from your model, which will also prevent creation of `total_cost.txt` and
`cost_components.csv`. Specifying `--no-post-solve` will prevent running the
`post_solve` code in all the modules used in the model, and therefore prevent
all output.
- Model configuration is now saved in `model_config.json` in outputs directory.
- The `demand_response.iterative` module now includes the iteration number in
result filenames, which can be useful for monitoring progress of the solution.
- `existing_local_td` and `local_td_annual_cost_per_mw` are now optional
(default 0) when using the `local_td module`. This is useful for models where
existing local transmission and distribution capacity is unknown (Switch will
automatically build enough) or where the cost of local T&D capacity is not
important, e.g., if the user is only concerned about avoiding local T&D
losses.
- Switch will now report dual values (shadow prices) for the carbon cap in
`emissions.csv` even for models with integer or binary variables. Note that
dual values are not defined in general for integer models, and for this reason
many solvers do not provide them. However, it is common practice to solve
once, then fix integer variables at their current level, then re-solve the now
continuous model and obtain dual values for that (this is what the
`--retrieve-cplex-mip-duals` flag does with the `cplex` solver, and some
versions of the `cplexamp` solver do this automatically). In this case, the
shadow price of carbon assumes none of the integer variables move from their
optimized position (e.g., not turning on one more power plant or abandoning
the plan to build a plant with a specific minimum size), which should be
suitable for most applications.
- A solved model will be returned at the end of `switch_model.solve.main()` if
the `return_model` and `return_instance` arguments are not specified. This can
be useful for programmatic control of Switch.

**Other changes**

- Switch code has begun to use `m.logger.error()`, `m.logger.warning()`,
`m.logger.info()` and `m.logger.debug()` for screen output, and this is
recommended for custom user modules too.
- Changed plotting library from `ggplot` to `plotnine` for optional plots stored
in `dispatch_annual_summary_fuel.pdf` and `dispatch_annual_summary_tech.pdf`
(these plots will be generated automatically if you have `plotnine` installed
in your Python environment)
- Numerous adjustments to improve performance, documentation, warning messages
or stability. See [git commit
log](https://github.com/switch-model/switch/blob/master/updates207.txt) for
details.
- A bug was fixed in the `balancing.planning_reserves` module that may sometimes
have caused Switch to crash.
- Updated planning reserves input documentation & reading to reflect that some
parameters are optional and don't have to be specified in files.
- Fixed a bug with fuel unavailability when calculating fuel costs related to
dispatch with the `fuel_costs.markets` module.
- Switch now uses `SwitchAbstractModel` and `SwitchConcreteModel` classes to
encapsulate the features we add to the Pyomo base classes. (Mainly of interest
to core developers.)
- Switch source code now uses the Black autoformatter. This should make the
source code a little more readable, and is recommended for any contributions
from users.

-------------------------------------------------------------------------------

2.0.6

-------------------------------------------------------------------------------
This release fixes a bug where the fixed costs of storage energy capacity (the
MWh part of storage) from all possible build years were mistakenly applied each
period, instead of only using the build years that are still in service in the
current period. This increased the apparent cost of storage by approximately
(study length) / (storage life). This bug was introduced in version 2.0.0b3 and
persisted through version 2.0.5, so results from earlier models will need to be
updated.

This will be the last version of Switch to work in Python 2. It requires at
least Python 2.7.12 and also works with Python 3.

-------------------------------------------------------------------------------

2.0.5

-------------------------------------------------------------------------------
This release standardizes all inputs and outputs as .csv files.

As usual, when you first solve an older model, Switch will prompt to backup and
upgrade the inputs directory. If you accept, it will convert the existing
tab-delimited *.tab files and most ampl-format *.dat files to comma-delimited
*.csv files. It is recommended that you update your model data preparation
scripts to create .csv files directly. Note that non-indexed parameters should
now be stored in .csv files with a header row listing the parameter names and a
single data row showing their values.

All multi-value outputs from Switch are also now in comma-delimited .csv files,
instead of a mix of .csv, .tab and .txt files. (total_cost.txt is unchanged)

This release also includes includes the following minor updates:

- Updated installation instructions
- Switch version number and website are now shown in the startup banner when
running with --verbose flag; solve messages have also been improved slightly
- Some parsing errors for *.tab files have been fixed in the upgrade scripts;
this may cause errors during the upgrade process for input files that use
spaces instead of tabs and were previously upgraded by Switch, producing
malformed files.
- Fixed several bugs in the documentation and execution of the stochastic
examples that use the PySP module of the Pyomo package

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2.0.4

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This release introduces compatibility with Python 3. As of version 2.0.4, Switch
can now be run with either Python 2.7 or Python 3 (likely to work with 2.7.10+;
has been tested on 2.7.16 and 3.7.3).

This release will prompt to upgrade your model inputs directory, but the only
change it makes is to update switch_inputs_version.txt to 2.0.4.

This release includes the following updates:

- Code has been updated in many places to achieve Python 2/3
cross-compatibility. Future contributors should ensure that their code is
compatible with both Python 2 and 3 (e.g., use
switch_model.utilities.iteritems(dict) instead of dict.iteritems(), be
prepared for results from dict.keys(), dict.vars(), map(), range(), zip(),
etc., to be either generators or lists, and use `from __future__ import
division` whenever doing division).
- Installation instructions in INSTALL have been updated. We now recommend that
users install dependencies using the conda command first, then install Switch
using pip. This follows practices recommended in
https://www.anaconda.com/using-pip-in-a-conda-environment/ and should minimize
problems caused by incompatibilities between conda and pip.
- Output files (.csv, .tab, .tsv, and .txt) are now consistently written using
the local system's line endings (LF on Mac or Linux, CRLF on Windows).
Previously, most of these were written with only LF line endings on Windows.
- A bug was fixed in switch_model.transmission.local_td that prevented the
carrying cost of Legacy local T&D capacity from being included in the
objective function. As a result, users of this module will find that Switch
now reports higher total costs than previously. However, this should not
affect any of the decisions that Switch makes.
- To make switch_model.transmission.local_td module compatible with Python 3,
"Legacy" was removed from the list of build years for local T&D capacity
(Pyomo sorts index keys when solving the model, and Python 3 cannot sort lists
that mix strings and numbers). Legacy capacity is now read directly from the
existing_local_td[z] parameter when needed. This does not change the behavior
of Switch, but "Legacy" rows are no longer written to the BuildLocalTD.tab
output file. The LOCAL_TD_BLD_YRS set has also been removed. LOAD_ZONES *
PERIODS can be used instead.
- A new indexed set, CURRENT_AND_PRIOR_PERIODS_FOR_PERIOD[p] has been added.
This is useful for simple online capacity calculations for assets that cannot
be retired during the study (e.g., AssetCapacity[p] = sum(BuildCapacity[v] for
v in CURRENT_AND_PRIOR_PERIODS_FOR_PERIOD[p]))
- Code has been cleaned up a bit internally (e.g., removed trailing whitespace,
changed "SWITCH" or "SWITCH-Pyomo" to "Switch")

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2.0.3

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- Users can now provide data in variable_capacity_factors.tab and
hydro_timeseries.tab for times before projects are built or after they are
retired without raising an error. However, the extra datapoints will be
ignored.
- Various parts of the code have better formatting, documentation and
performance.
- switch_model.hawaii.smooth_dispatch is now compatible with Pyomo 5.6 and
later.
- A new '--exact' option in switch_model.hawaii.rps forces the system to
exactly meet the RPS target and no more. This is useful for studying the cost
of adopting various levels of renewable power, including levels below the
least-cost system design (i.e., cases where low shares of renewable power
cause higher system costs).
- A bug was fixed when calculating the cost of water spillage in
switch_model.generators.extensions.hydro_system.
- Final reservoir level in switch_model.generators.extensions.hydro_system
is now stored in a varaible called ReservoirFinalVol. The ReservoirSurplus
variable has been eliminated.
- Bounds on a number of inputs have been relaxed to allow unusual or edge cases.
In particular, a number of variables can now be zero instead of strictly
positive. This allows zero costs, zero capacity limits, zero-based year
counting, etc.
- The gen_is_baseload parameter is now optional, with a default value of False
(0).
- NEW_TRANS_BLD_YRS has been renamed to TRANS_BLD_YRS.
- setup.py now lists an optional dependency on rpy2<3.9 instead of rpy2, because
later versions of rpy2 require Python 3, which Switch doesn't support yet.
This only affects the iterative demand response module.
- A new GENS_BY_ENERGY_SOURCE set can be used to identify all the generators
that use any energy source, either a fuel or a non-fuel energy source.
GENS_BY_FUEL and GENS_BY_NON_FUEL_ENERGY_SOURCE also still exist.
- We have begun migrating toward using `initialize` instead of `rule` when
initializing Pyomo components, and recommend that users do the same in their
custom modules. This matches the current Pyomo API documentation. `rule` also
works for now, but `initialize` should be more future proof.
- The discrete-build requirement is now enforced on generators with
predetermined build quantities, in addition to optimized generators.
- The optional psycopg2 dependency has been changed to psycopg2-binary.
- The --debug option now uses the ipdb debugger if available; otherwise it falls
back to pdb.

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