https://github.com/Critical-Infrastructure-Systems-Lab/PowNet

PowNet: Network-constrained Unit Commitment / Economic Dispatch model in Python
https://github.com/Critical-Infrastructure-Systems-Lab/PowNet

dc-flow dispatchable-units economic-dispatch electricity-supply n-1-criterion power-system-analysis python renewable-resources substations transmission unit-commitment water-energy-nexus

Last synced: 3 months ago
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PowNet: Network-constrained Unit Commitment / Economic Dispatch model in Python

• Host: GitHub
• URL: https://github.com/Critical-Infrastructure-Systems-Lab/PowNet
• Owner: Critical-Infrastructure-Systems-Lab
• License: mit
• Created: 2019-09-27T03:03:01.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-05-02T15:33:54.000Z (6 months ago)
• Last Synced: 2024-06-05T19:27:40.419Z (5 months ago)
• Topics: dc-flow, dispatchable-units, economic-dispatch, electricity-supply, n-1-criterion, power-system-analysis, python, renewable-resources, substations, transmission, unit-commitment, water-energy-nexus
• Language: Python
• Homepage:
• Size: 37.9 MB
• Stars: 71
• Watchers: 11
• Forks: 25
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• open-sustainable-technology - PowNet - A least-cost optimization model for simulating the Unit Commitment and Economic Dispatch of large-scale (regional to country) power systems. (Energy Systems / Energy System Modeling Frameworks)

README

        
![license MIT](https://img.shields.io/github/license/kamal0013/PowNet) 

# PowNet: Unit Commitment / Economic Dispatch model in Python

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. PowNet can easily integrate information about variable renewable resources (e.g., hydro, wind, solar) into the UC/ED process. For example, it can be linked with models that estimate the electricity supply available from renewable resources as a function of the climatic conditions. In addition, PowNet has provision to account for the effect of droughts on the generation of dispatchable thermal units (e.g., coal, oil, gas-fired units) that depend on freshwater availability. These features facilitate the application of PowNet to problems in the water-energy nexus domain that investigate the impact of water availability on electricity supply and demand. 

Read the PowNet Documentation here: https://pownet.readthedocs.io/en/latest