SIMULATION OF HYBRID RENEWABLE SYSTEMS IN RURAL AREAS

Abstract

Renewable Energy (RE) sources are being used nowadays to overcome grid instability. A different hybrid model is used to balance energy production, reducing excess energy where PV (Photovoltaic) production is highly stochastic due to fluctuations in irradiance and temperature. The main problem of renewable energy sources is uncertainty. The velocity is also not stable according to the location in terms of wind energy. A technical and financial plan can mitigate the maintenance cost in a hybrid system. A hybrid renewable energy system is a combination of different energy sources. The sources are considered a combination of complete renewable or renewable and other conventional energy sources such as diesel generators, utility grids, etc. In the research, the technical and financial plan can be implemented in sustainable management after installing the hybrid system; monitoring the production is also a big problem nowadays. The research method is general, and the test scenario has been based in Mozambique. A predictive model can maintain a consistent power flow of renewable sources such as photovoltaic, wind, utility grid, and inverter systems. The renewable sources data are variant according to their location, and it has an impact in terms of energy production. In a modern sustainable framework, considerable data control is required for administration, miniature networks, and environmentally friendly power supplies. The target of this research is to introduce simple technical planning for the community living in a rural area and for the local electricity provider or the consultants to plan a hybrid system in areas and collect the data and understand simple data analysis techniques so that the future production, storage capacity, excess energy can be identified. The research is a theoretical plan before the practical installation of a hybrid system. It is important to have a proper plan before the establishment of such a system otherwise the inappropriate plan causes extra costs and loss of energy which is not an idea criterion to implement renewable energy-based hybrid systems. We will discuss the importance of data collection from the hybrid system and later analyze the data to observe the energy production, excess energy, annual energy cost, maintenance cost, etc. Data visualization is important to monitor the correlation between all necessary parameters of the design which can assure better stability of a system. Data analysis is also an important part nowadays because of forecasting or predicting the future outcome of the system. This theoretical approach can be implemented after practical installation on-site and the technical plan, visualization, data analysis methods can be used also for the project.