Looking to Improve an MPC for Microgrid System (Forecasting + Hydrogen Integration) -- 2
Budget: €30 – €250 EUR
I am looking for support or collaboration to improve a Model Predictive Control (MPC) framework for a microgrid system. The goal is to enhance its performance by:
Improving the forecasting logic for PV generation and load. This can include methods such as ARIMA, machine learning, or any other advanced forecasting approach.
Integrating a hydrogen storage system into the control model. This can be implemented in either MATLAB or Simulink, depending on feasibility and preference.
What I will provide:
*A working Simulink model of the microgrid (PV, load, batteries).
*The current MPC logic is implemented in MATLAB, including forecasting and control structure.
What I’m looking for:
*Development of a better forecasting strategy for PV and load data.
*Modeling and integration of hydrogen storage (electrolyzer, tank, fuel cell) into the existing system.
*Any additional contributions or improvements are welcome!
If you are experienced in control systems, time-series forecasting, or energy system modeling, feel free to get in touch. Open to students, researchers, or engineers interested in predictive control and hybrid energy systems.
Improving the forecasting logic for PV generation and load. This can include methods such as ARIMA, machine learning, or any other advanced forecasting approach.
Integrating a hydrogen storage system into the control model. This can be implemented in either MATLAB or Simulink, depending on feasibility and preference.
What I will provide:
*A working Simulink model of the microgrid (PV, load, batteries).
*The current MPC logic is implemented in MATLAB, including forecasting and control structure.
What I’m looking for:
*Development of a better forecasting strategy for PV and load data.
*Modeling and integration of hydrogen storage (electrolyzer, tank, fuel cell) into the existing system.
*Any additional contributions or improvements are welcome!
If you are experienced in control systems, time-series forecasting, or energy system modeling, feel free to get in touch. Open to students, researchers, or engineers interested in predictive control and hybrid energy systems.