As the share of renewable energy sources are increasing in the electricity production, it became affordable for households to set up their own green production and become prosumers. Governmental incentives are also encouraging this trend through feed in tariffs or reduced taxes. Nowadays, prosumers could include numerous devices in their set up such as: photovoltaic panels, batteries, small wind turbines, heat pumps, etc. The motivation behind these systems is mainly to gain financial benefits on the reduced energy bills but also to aid the fight against climate change. However, because of the volatile nature of renewables, it is important to also invest in a compact energy management system (EMS), which governs all the power flows of the prosumer in an effective manner.
These systems utilize sophisticated optimization algorithms to schedule the prosumers battery or Elecric Vehicle (EV) charging. This thesis aims to develop an EMS which is capable of scheduling the power dispatches of the prosumer’s devices, while achieving electricity bill minimization, providing user comfort and constraining the maximum power drawn from the grid. A flexible solution which can be implemented at a wide range of prosumers with different set ups. It requires long term analysis to ensure financial efficiency of the system as well as short term simulations to validate its power management capabilities. Feasibility is also key, meaning a proposed EMS is effective if it can be deployed on actual hardware and govern actual powerflows. It is thus, essential to study and construct a future EMS that will help the wide spread and successful incorporation of the latest renewable technologies.