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PowNet
by Singapore University of Technology and Design
Authors:
AFM Kamal Chowdhury, Jordan Kern, Thanh Duc Dang, Stefano Galelli
Contact:
AFM Kamal Chowdhury
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PowNet is a least-cost optimization model for simulating the Unit Commitment and Economic Dispatch (UC/ED) of large-scale (regional to country) power systems. In PowNet, a power system is represented by a set of nodes that include power plants, high-voltage substations, and import/export stations (for cross-border systems). The model schedules and dispatches the electricity supply from power plant units to meet hourly electricity demand in substations (at a minimum cost). It considers the techno-economic constraints of both generating units and high-voltage transmission network. The power flow calculation is based on a Direct Current (DC) network (with N-1 criterion), which provides a reasonable balance between modelling accuracy and data and computational requirements.
Based on Python (Pyomo). Using Python for data processing.
Website / Documentation
Download
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 Open Source
MIT license (MIT)
Directly downloadable
Input data shipped
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| Model Scope |
Model type and solution approach |
| Model class
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Network-constrained Unit Commitment and Economic Dispatch
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| Sectors
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Electricity, Electric power, Energy
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| Technologies
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Renewables, Conventional Generation
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| Decisions
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dispatch
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| Regions
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Laos, Cambodia, Thailand, any user-defined country or region
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| Geographic Resolution
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High-voltage substation
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| Time resolution
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Hour
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| Network coverage
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transmission, distribution, DC load flow
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| Model type
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Optimization, Simulation
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Mixed Integer Linear Program (MILP), DC Power Flow, Unit Commitment, Economic Dispatch
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| Variables
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| Computation time
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minutes"minutes" is not a number. minutes
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| Objective
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Cost minimization
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| Uncertainty modeling
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Sensitivity analysis
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| Suited for many scenarios / monte-carlo
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No
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References
Scientific references
Chowdhury, A.F.M.K., Kern, J., Dang, T.D. and Galelli, S., 2020. PowNet: A Network-Constrained Unit Commitment/Economic Dispatch Model for Large-Scale Power Systems Analysis. Journal of Open Research Software, 8(1), p.5.
https://dx.doi.org/http://doi.org/10.5334/jors.302
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