The main sources of energy production in Cameroon remain hydroelectricity, thermal power plants using fuel and gas. However, in recent years, the country has experienced an imbalance that creates a gap between production and consumption. It is therefore very important to explore new energy sources such as wind energy. In an effort to search for other sources of energy, this study was conducted in the East region of Cameroon. Since wind speeds are low in this part of the country, it is imperative to look for methods to extract maximum power. To do this, we used the fuzzy adaptive dP-P&O algorithm. This algorithm combines the simplicity of the P&O method with the adaptability of fuzzy logic. It allows the wind turbine to adjust more quickly and more precisely to changing wind conditions. A fusion of clean energy and cutting-edge technology is the driving force behind the global shift toward sustainability, and innovations like fuzzy adaptive controls are essential to harness the full potential of wind energy. With this method, the turbine will be able to extract on average an energy between139.028 kWhand395.45 kWhper day at an altitude of 10 m. This method will allow approximately 97.66% of the theoretical value of the site's available power to be extracted with a system performance coefficient of 48%.