Python-DIgSILENT PowerFactory Interface
Budget: $30 – $250 USD
I'm looking for an expert to create a Python-based model interfaced with DIgSILENT PowerFactory. The end goal is to forecast transmission losses across various load scenarios including light, midday, and peak loads, using a Quasi Dynamic simulation.
The model should use the following inputs:
- Historical load data
- Weather data
- Line and network parameter data is already modeled into the existing light, midday and peak loads case files
It also requires profiles for all generator types, such as:
- Synchronous
- CSP (Concentrated Solar Power)
- Wind
- PV (Photovoltaic)
- BESS (Battery Energy Storage System)
- OCGTs (Open Cycle Gas Turbines)
The expected outcome is high accuracy in loss forecasting. Your experience with Python-based models especially DIgSILENT PowerFactory, will be a significant advantage for this project. Knowledge of energy transmission systems and their losses, as well as expertise in applying Quasi Dynamic simulation for forecasting, is highly desirable.
The model should use the following inputs:
- Historical load data
- Weather data
- Line and network parameter data is already modeled into the existing light, midday and peak loads case files
It also requires profiles for all generator types, such as:
- Synchronous
- CSP (Concentrated Solar Power)
- Wind
- PV (Photovoltaic)
- BESS (Battery Energy Storage System)
- OCGTs (Open Cycle Gas Turbines)
The expected outcome is high accuracy in loss forecasting. Your experience with Python-based models especially DIgSILENT PowerFactory, will be a significant advantage for this project. Knowledge of energy transmission systems and their losses, as well as expertise in applying Quasi Dynamic simulation for forecasting, is highly desirable.