The Best Planning For a Grid-Connected Microgrid Takes Into Account Load and Renewable Generation Uncertainty As Well As Battery Storage

One of the finest solutions for supplying electrical energy in rural places is to use hybrid renewable energy. When using renewable energy sources to meet demand, the right capacity of these sources should be chosen because they are dependent on weather and other factors. It is very impressive to take into account the stochastic nature of wind speed and solar radiation when estimating the potential of renewable energy sources like wind and solar. One issue with employing renewable energy like wind and solar in micro-grids is their inherent unpredictability and random stochastic nature, which made planning and forecasting for such resources challenging. To represent uncertainty in both Wind and PV resources, stochastic programming and probability scenarios are used in this project. Gams software uses mixed integer programming to determine the best way to program a micro-grid that is connected to the main grid. The Virtual Power Producer uses the main control system to manage optimal production and load control.

کلیدواژه ها:

Renewable Energy Sources ، Intrinsic uncertainty ، Stochastic programming ، mixed integer programming ، Virtual Power Producer