A Research on Prevention of Hydro Power-Generator Outages due to Pseudo Faults using Artificial Intelligence

As traditional energy resources are limited, future generations will rely significantly on renewable energy sources such as water, sun, and wind to generate electricity. Water is one of the most essential RERs that hydroelectric power plants use to generate energy. Because the power plants are built subterranean, it is hard to modify the sensors in the event of a breakdown. Various academics have developed a number of strategies to reduce power generating losses; but, these approaches have not been able to deliver correct results, making them inefficient and inconvenient. In order to tackle these issues, an improved method, based on AI is proposed in this paper. When the OFC link is broken or switched off and pressure is received, the suggested model will use an intelligent fuzzy based method to detect the valve status in order to limit generation loss. In addition, a graphical user interface (GUI) for the developed framework is being created in order to make it more user-friendly and simpler to use. The efficacy of the suggested model is depicted in the MATLAB software in terms of various dependency factors. the results obtained showed that the proposed model is able to determine the state of valve more accurately and precisely.