Model Factsheet

Overview / Agent-based Modeling of Electricity System (AMES)

Model Agent-based Modeling of Electricity System (AMES)

General Information
Name Agent-based Modeling of Electricity System
Acronym AMES
Methodical Focus Agent-Based modeling
Institution(s) Iowa State University, Battelle Memorial Institute, Pacific Northwest National Laboratory
Author(s) (institution, working field, active time period) Leigh Tesfatsion; Iowa State University; tesfatsi@iastate.edu
Current contact person -
Contact (e-mail) tesfatsi@iastate.edu
Website https://github.com/ames-market
Logo
Primary Purpose Agent-based computational platform modeling RTO/ISO-managed wholesale power market operations over a high-voltage transmission grid for successive days, with congestion handled by locational marginal pricing. Simulates day-ahead SCUC/SCED (security-constrained unit commitment and security-constrained economic dispatch) optimizations running in tandem with real-time SCED optimizations over successive days of operation, with continually updated state conditions. Market-participant agents can be endowed with reinforcement learning capabilities by means of an incorporated Java Reinforcement Learning Module (JReLM). Designed for federation with other domain simulators, thus permitting the co-simulation study of larger systems such as integrated transmission and distribution systems.
Primary Outputs
Support / Community / Forum
Framework
Link to User Documentation https://github.com/ames-market/AMES-V5.0#documentation
Link to Developer/Code Documentation -
Documentation quality good
Source of funding -
Number of developers less than 10
Number of users less than 10
Openness
Open Source
License AMES License - like bsd license
Source code available
GitHub
Access to source code https://github.com/ames-market/
Data provided example data
Collaborative programming
GitHub Organisation
Software
Modelling software
Internal data processing software
External optimizer
Additional software
GUI
Coverage
Modeled energy sectors (final energy) electricity
Modeled demand sectors -
Modeled technologies: components for power generation or conversion
Renewables -
Conventional -
Modeled technologies: components for transfer, infrastructure or grid
Electricity distribution, transmission
Gas -
Heat -
Properties electrical grid SCUC/SCED
Modeled technologies: components for storage -
User behaviour and demand side management
Changes in efficiency
Market models -
Geographical coverage
Geographic (spatial) resolution -
Time resolution -
Comment on geographic (spatial) resolution
Observation period -
Additional dimensions (sector) -
Mathematical Properties
Model class (optimisation) -
Model class (simulation) -
Other
Short description of mathematical model class
Mathematical objective -
Approach to uncertainty -
Suited for many scenarios / monte-carlo
typical computation time -
Typical computation hardware -
Technical data anchored in the model -
Model Integration
Interfaces
Model file format .xls
Input data file format .csv
Output data file format .csv
Integration with other models
Integration of other models
References
Citation reference -
Citation DOI -
Reference Studies/Models -
Example research questions -
Model usage -
Model validation -
Example research questions -
further properties
Model specific properties -

Actions

Edit Delete

Tags