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Updating PluginABCE example to use new ABCE standard formats #97
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Original file line number | Diff line number | Diff line change |
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@@ -1,79 +1,116 @@ | ||
# File locations and runtime options for ABCE | ||
demand_data_file: "inputs/demand_data.csv" | ||
seed_dispatch_data_file: "inputs/ALEAF_inputs/ABCE_IL_C2N__dispatch_summary_OP__step_0.csv" | ||
unit_specs_abce_supp_file: "inputs/unit_specs_abce_supplemental.csv" | ||
retirement_period_specs_file: "inputs/portfolio_retirement_specification.csv" | ||
time_series_data_file: "inputs/timeseriesParams.xlsx" | ||
gc_params_file: "inputs/gc_params.yml" | ||
portfolios_file: "inputs/IL_portfolios.csv" | ||
db_file: {{ DATABASE_NAME }} | ||
ABCE_sysimage_file: "abceSysimage.so" | ||
dispatch_sysimage_file: "dispatch.so" | ||
output_file: "outputs.xlsx" | ||
solver: "cplex" | ||
simulation: | ||
scenario_name: "ABCE_ERCOT_PWRC2N" | ||
solver: "CPLEX" | ||
num_steps: 2 | ||
annual_dispatch_engine: none | ||
C2N_assumption: baseline | ||
|
||
first_asset_id: 2001 | ||
scenario: | ||
peak_demand: {{ peak_demand }} | ||
policies: | ||
CTAX: | ||
enabled: True | ||
qty: 0 # $/t CO2 | ||
PTC: | ||
enabled: True | ||
eligibility: | ||
unit_type: | ||
- conventional_nuclear | ||
- wind | ||
- solar | ||
qty: {{ PTC_qty }} # $/MWh | ||
allowed_xtr_types: | ||
- wind | ||
- solar | ||
- ngcc | ||
- ngct | ||
- PWR_C2N0_single | ||
- PWR_C2N1_single | ||
- HTGR_C2N0_single | ||
- HTGR_C2N2_single | ||
- SFR_C2N0_single | ||
- SFR_C2N3_single | ||
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||
num_steps: {{ N_STEPS }} | ||
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||
run_ALEAF: {{ run_ALEAF }} | ||
####################################################### | ||
# Advanced settings | ||
####################################################### | ||
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||
natural_gas_price: {{ NATURAL_GAS_PRICE }} | ||
conv_nuclear_FOM: {{ NFOM_VALUE }} | ||
# Various constants: should never be updated! | ||
constants: | ||
first_asset_id: 2001 | ||
vis_lvl: 45 # sets the logging level for bare visual elements | ||
large_epsilon: 1.0 | ||
time_before_start: -1 | ||
distant_time: 9999 | ||
big_number: 999999 | ||
hours_per_year: 8760 | ||
MW2kW: 1000 # converts MW to kW | ||
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||
C2N_subsidy: 1 # deprecated: to remove | ||
C2N_assumption: baseline | ||
# File paths and filenames | ||
file_paths: | ||
ABCE_sysimage_file: "abceSysimage.so" | ||
db_file: "abce_db.db" | ||
demand_data_file: "inputs/demand_data.csv" | ||
agent_specifications_file: "inputs/single_agent_testing.yml" | ||
# agent_specifications_file: "inputs/agent_specifications.yml" | ||
output_file: "outputs.xlsx" | ||
unit_specs_data_file: "inputs/unit_specs.yml" | ||
logo: "abce.txt" | ||
|
||
use_precomputed_price_curve: True # deprecated: to remove | ||
enable_subsidy: False # deprecated: to remove | ||
subsidy_amount: 0 # $/MWh | ||
price_cap: 9001 | ||
# Modeled grid system settings which are unlikely to change frequently | ||
system: | ||
price_cap: 9001 | ||
tax_rate: 0.21 | ||
planning_reserve_margin: 0.1375 | ||
peak_initial_reserves: 0.0 | ||
max_total_ENS: 100000 # MWh, allowed gen. undersupply in first projected dispatch year (Energy Not Served) | ||
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||
policies: | ||
CTAX: | ||
enabled: False | ||
qty: 30 # $/t CO2 | ||
PTC: | ||
enabled: True | ||
eligible: | ||
- ConventionalNuclear | ||
# - Wind | ||
qty: {{ PTC_VALUE }} # $/MWh | ||
num_repdays: 20 | ||
# Settings for demand projections | ||
demand: | ||
total_forecast_horizon: 10 # Number of periods in the complete forecast horizon | ||
demand_visibility_horizon: 2 | ||
demand_projection_mode: exp_termrate # flat, exp_fitted, or exp_termrate | ||
demand_projection_window: 5 # Total number of periods used to project demand | ||
historical_demand_growth_rate: 0.01 | ||
terminal_demand_growth_rate: 0.01 # Exponential growth rate of demand | ||
|
||
allowed_xtr_types: | ||
- Wind | ||
- Solar | ||
# - AdvancedNuclear | ||
- ConventionalNuclear | ||
- NGCC | ||
- NGCT | ||
- Coal | ||
# Settings for the agents' internal dispatch simulator and handling of | ||
# dispatch data | ||
dispatch: | ||
num_dispatch_years: 10 # Num. of years to explicitly simulate dispatch | ||
num_repdays: 35 | ||
hist_wt: 0.4 # Weighting of historical versus projected data | ||
hist_decay: 0.5 # Decay factor for each historical data year | ||
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||
peak_demand: 28967 # MWh, to scale load duration data | ||
demand_visibility_horizon: 5 | ||
demand_projection_mode: exp_termrate # flat, exp_fitted, or exp_termrate | ||
demand_projection_window: 10 # Total number of periods used to project demand | ||
historical_demand_growth_rate: 0.01 | ||
terminal_demand_growth_rate: 0.01 # Exponential growth rate of demand | ||
planning_reserve_margin: 0.1375 | ||
peak_initial_reserves: 0 # MW, peak reserves demand (added to PD by agent_choice.jl) | ||
tax_rate: 0.21 | ||
large_epsilon: 1.0 # Value for determining non-zero-ness of large values | ||
num_dispatch_years: 10 # Num. of years to explicitly simulate dispatch | ||
# Settings for agent behavior optimization | ||
agent_opt: | ||
num_future_periods_considered: 4 # Number of periods for which to consider future projects | ||
max_type_rets_per_pd: 3 | ||
max_type_newbuilds_per_pd: 5 | ||
shortage_protection_period: 8 | ||
cap_decrease_threshold: 1.05 | ||
cap_decrease_margin: -0.05 | ||
cap_maintain_threshold: 1.0 | ||
cap_maintain_margin: 0.0 | ||
cap_increase_margin: 0.02 | ||
profit_lamda: 1.0 # Note: only the ratio between the lamdas matters | ||
credit_rating_lamda: 0.1 | ||
cr_horizon: 6 | ||
int_bound: 5.0 | ||
|
||
hours_per_year: 8760 | ||
total_forecast_horizon: 100 # Number of periods in the complete forecast horizon | ||
consider_future_projects: True | ||
num_future_periods_considered: 4 # Number of periods for which to consider future projects | ||
max_type_rets_per_pd: 5 | ||
max_type_newbuilds_per_pd: 3 | ||
financing: | ||
default_debt_term: 30 | ||
default_equity_horizon: 30 | ||
depreciation_horizon: 20 | ||
starting_instrument_id: 1000 | ||
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# Filenames and settings for ALEAF | ||
ALEAF: | ||
ALEAF_master_settings_file: "ALEAF_Master.xlsx" | ||
ALEAF_model_type: "LC_GEP" | ||
ALEAF_region: "ERCOT" | ||
ALEAF_model_settings_file: "ALEAF_Master_LC_GEP.xlsx" | ||
ALEAF_portfolio_file: "ALEAF_ERCOT.xlsx" | ||
ALEAF_data_file: "inputs/ALEAF_settings.yml" | ||
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#### ALEAF SETTINGS | ||
ALEAF_master_settings_file: "ALEAF_Master.xlsx" | ||
ALEAF_model_type: "LC_GEP" | ||
ALEAF_region: "IL" | ||
ALEAF_model_settings_file: "ALEAF_Master_LC_GEP.xlsx" | ||
ALEAF_portfolio_file: "ALEAF_IL.xlsx" | ||
ALEAF_scenario_name: "ABCE_IL" |
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Original file line number | Diff line number | Diff line change |
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@@ -11,41 +11,41 @@ | |
from pathlib import Path | ||
import numpy as np | ||
import time | ||
import logging | ||
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n_steps = 2 | ||
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params = watts.Parameters() | ||
params['NFOM_VALUE'] = "ATB" | ||
params['N_STEPS'] = n_steps | ||
params['run_ALEAF'] = "False" | ||
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# Initialize settings | ||
template_name = "abce_template.txt" | ||
results_path = Path.cwd() / 'results' / f"{n_steps}_periods_ALEAF_{params['run_ALEAF']}_99" | ||
results_path = Path.cwd() / "results" / "ABCE_C2N_example" | ||
results_path.mkdir(exist_ok=True, parents=True) | ||
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watts.Database.set_default_path(results_path) | ||
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average_ngp = 5 # $/mmbtu | ||
variance_ngp = 2 | ||
n_samples = 12 | ||
# Initialize parameterization | ||
params = watts.Parameters() | ||
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# Set up parameter lists | ||
PTC_qty_list = np.linspace(start=0, stop=30, num=2) # $/MWh | ||
peak_demand_list = np.linspace(start=76000, stop=80000, num=2) # MWh | ||
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# Start the runs | ||
start = time.perf_counter() | ||
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np.random.seed(12345) | ||
ngp_list = np.array([2.0, 3.5, 5.5, 8.5]) # $/mmbtu | ||
# nfom_list = np.linspace(start=40, stop=500, num=n_samples) # $/MWh | ||
ptc_list = np.linspace(start=0, stop=30, num=n_samples) # $/MWh | ||
for PTC_qty in PTC_qty_list: | ||
params["PTC_qty"] = PTC_qty | ||
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for peak_demand in peak_demand_list: | ||
params["peak_demand"] = peak_demand | ||
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params.show_summary(show_metadata=True, sort_by="key") | ||
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abce_plugin = watts.PluginABCE( | ||
template_name, show_stdout=True, show_stderr=True | ||
) | ||
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for i, n in enumerate(ngp_list): # loop through all of the natural gas prices | ||
params['NATURAL_GAS_PRICE'] = n | ||
for j, p in enumerate(ptc_list): | ||
params['PTC_VALUE'] = p | ||
params['DATABASE_NAME'] = f'NG_PTC_run_4{i}{j}_pd{n_steps}.db' | ||
params.show_summary(show_metadata=True, sort_by='key') | ||
abce_plugin = watts.PluginABCE(f'{template_name}', show_stdout=True, show_stderr=True) | ||
abce_result = abce_plugin(params, extra_args=['-f']) | ||
abce_result = abce_plugin(params, extra_args=["-f"]) | ||
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Would it be possible to extract one or two potential results of interest and print them out? |
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end = time.perf_counter() | ||
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print(f'TOTAL SIMULATION TIME: {np.round(end-start)/60} minutes') | ||
logging.info(f"TOTAL SIMULATION TIME: {np.round(end-start)/60} minutes") |
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I recommend adding a little bit more description of what sensitivity analysis we are trying to do here. This is a sensitivity analysis where we are scanning a range of peak demand and PTC incentive to determine ???...