Model Factsheets
| 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 | |
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| 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 |
| 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 |
| Modelling software | |
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| External optimizer | |
| Additional software | |
| GUI |
| Modeled energy sectors (final energy) |
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| Modeled demand sectors |
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| Modeled technologies: components for power generation or conversion |
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| Modeled technologies: components for transfer, infrastructure or grid |
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| Properties electrical grid |
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| Modeled technologies: components for storage |
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| User behaviour and demand side management | |||||||
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| Market models | - | ||||||
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| Geographic (spatial) resolution |
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| Time resolution | - | ||||||
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| Observation period | - | ||||||
| Additional dimensions (sector) |
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| Model class (optimisation) | - |
| Model class (simulation) | - |
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| 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 | - |
| Interfaces | |
| Model file format | .xls |
| Input data file format | .csv |
| Output data file format | .csv |
| Integration with other models | |
| Integration of other models |
| Citation reference | - |
| Citation DOI | - |
| Reference Studies/Models | - |
| Example research questions | - |
| Model usage | - |
| Model validation |
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| Example research questions | - |
| further properties | |
| Model specific properties | - |