Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System

Does Oversizing Improve Prosumer Profitability in a Flexibility Market? - A Sensitivity Analysis using PV-battery System

The possibilities to involve small-scale prosumers for ancillary services in the distribution grid through aggregators and local flexibility markets, question whether it is profitable for prosumers to oversize proactively. In this analysis, a Python model is developed to identify the cost optimal operation plan of the PV-battery system and to evaluate the device flexibility. An economic assessment is carried out to derive the cost-benefit of sizing based on the mean electricity price. A sensitivity analysis is performed with the above results to study the profitable sizing of PV-battery systems with flexibility services. The results show promising advantage of oversizing although limitations prevail with the extent of flexibility services offered.

Understanding sizing and flexibility

1. Use flexgenerator.py to create optimized operation plan with flexibility quantification.
2. Create a 'var' folder to save the output as pickle files.
3. Run 'analysis/main.py' to evaluate the impact of system size on prosumer profitability.
4. Make sure to include all necessary paths to your IDE.

OpenTUMFlex

An open-source python-based flexibility model to quantify and price the flexibility of household devices.

Documentation

Find detailed documentation about OpenTUMFlex here.