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Explore the evaluation of grid tariff design for homes and estimate financial impacts of tariff changes using GridLAB-D in this study. Find a revenue-neutral TOU tariff and learn how to customize the simulation. Retrieve results and analyze data.
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GridLAB-D Workshop: Tariff Design Study Alyona Ivanova (SLAC) CEC Advanced Simulation Program 5 September 2019 This presentation was prepared with funding from the California Energy Commission under grant EPC-17-046. SLAC National Accelerator Laboratory is operated for the US Department of Energy by Stanford University under Contract No. DE-AC02-76SF00515
California Tariff Design Study Objective • Evaluation of grid tariff design for homes • Estimate the financial impact of a change in tariff Methodology • Simulate homes with fixed and time-of-use (TOU) tariff • Compute and compare electricity costs at the end of a period Approach • Use GridLAB-D to model a fixed and TOU simplified IEEE 4 (single home) and IEEE 13 (73 homes) node feeders. • Evaluate the impact of switching to TOU tariff on electricity costs
Tariff Design Template • Location: San Jose CA • Day: Winter peak • Weather: TMY3 • Base case: Fixed tariff • Study cases: TOU tariff with off-peak tariff as a fraction of peak tariff • Objective: Find a revenue neutral TOU tariff
Methodology • GridLAB-D Version: 4.2.0-190828 • Model structure: 1 home + 1 meter + feeder (IEEE 4) 73 homes + 73 residential meters + feeder (IEEE 13) • Residential model: ETP • Implicit end-use load shapes: EIA 2015 • Simulation timestep: 1 hour
Overview of how to run the study • Login to your GitHub account • Create your tariff design project by cloning the template project • Modify the study parameters, e.g., • Change the city • Change the study day • Change the model of preference • Change prices of comparison • Login to CircleCI • Setup your new project • Download the results • Total bill for simulation duration • Standard deviation of total bill between houses
Add Project Another project* Set up new project here
Results : bill_sum.csv • The output contains ... • Model name • Tariff type • Total amount of money billed for the simulation period • Standard deviation between houses (Note, IEEE 4 model contains only one house, therefore the standard deviation is not available)
Customizing your simulation Back to GitHub...
2. Find the configuration file: config/simulation_configuration.csv
‘simulation_configuration.csv` • Model name: • IEEE 4 (1 house + 1 meter + 1 feeder) • IEEE 13 (73 houses + 73 meters + 1 feeder) • Weather file • All available locations can be found in ‘data/’ folder • Start and stop time and timezone of the simulation • Bill dump time • Specifies when the bill sum per house should be recorded • Sums all the monthly bills together until the billdump time
‘simulation_configuration.csv` Tariff • Fixed : summer and winter • TOU : summer and winter • Specify the off-peak price and a multiplier that calculates the peak price • Peak start and end hours determine the duty cycle of the tariff
Commit the change Edit directly in this window Describe the change Clicking commit will trigger simulation in CircleCI