The aim of the rural electrification project is to ensure the electrical supply and communication infrastructure of settlements where there is no or only limited availability of a fixed power grid, therefore the necessary electrical energy is typically used by using renewable energies.
Since the energy provided by using these resources is limited, it is important that the amount of energy produced per day is properly managed to avoid long-term power failure and ensure continuity of supply, taking into account the priorities of each settlement. In order to provide the daily energy supply to users, it is necessary to limit energy consumption by turning off the power for some users in order to maintain the required capacity by the end of the day. For example, if the power consumption exceeds the power output and / or the batteries are not charging properly, AC power may be required to reduce the load.
The University participates in the elaboration of three sub-tasks:
- Modelling of robust infrastructure: New methods shall be developed for the synthesis of robust off-grid power supply infrastructures. The task is to develop a methodology for the analysis and planning of the structural implementation of electric networks and also of supporting software, suitable for managing different target quantities depending on uncertainty parameters guaranteeing the given service levels (Service Level Agreements). A method taking into consideration the fluctuation of power generation is needed, which can ensure the required reliability and power generation level even under special conditions and require only minimum investments and operates at low costs
- Load analysis (modelling of consumption and supply): The operation is aimed at research securing, as outcome, optimum load distributing and scheduling processes for the off-grid systems. Renewable energy resources are available at various ratios, not only on the annual level but even within that and the same day, as their availability depends on and changes in function of the strength of wind and the position of the sun continuously, according to predictable rules. The task to fulfil is to elaborate methods and algorithms that predicatively define for the various periods the distribution of optimal load, in function of periodical generation, storing and consumption. Prediction shall rely on analysis of data for the past and shall take weather conditions into consideration.
- Elaboration of power distribution management system: Based on the data obtained from the smart meters installed at the consumers, the system controlling power distribution shall optimize power consumption and thanks to the prediction model applied, it shall be capable of predicting the power consumption of specific regions. During the operation we shall examine the factors that influence power distribution