Optimal Scheduling of Power Consumption in Green Smart Houses

Student thesis: Master thesis (including HD thesis)

  • Robert-Octavian Popescu
4. term, Control and Automation, Master (Master Programme)
Due to the high growth in renewable energy generation, more and more renewable systems are being manufactured for household usage. Integrating PV system accompanied with energy storage would permit households to completely disconnect from the grid. One of the biggest consumer in a building is the heating system. This work focuses on representing a complex system composed of: house, heating, battery, PV system, backup generator. Moreover, it is investigated the efficient energy usage of the heating system in a basic house. Model predictive control (MPC) is used to fully integrate the current state of the system and the weather forecast. Moreover, minimizing the use of the backup generator in the case of insufficient power is pursued, consequently the usage of fossil fuels is reduced. Also, the predictive controller commands: heating of the house, energy storage and backup generation, thus keeping the house temperatures within comfort limits. Finally, a MPC strategy is implemented and verified through simulations.
Publication date2017
Number of pages76
ID: 262935548