THE USE OF SMART TURBINE TO ENHANCE THE CONTROL EFFICIENCY OF MICRO GRID POWER GENERATOR

Subject Area: POWER SYSTEM

This paper focuses on harnessing the potential of smart turbines to enhance the effectiveness of micro grid power generators. The key emphasis lies in exploring the integration of fuzzy logic, fuzzifier, defuzzifier, and rule-based selector in the design and control of smart turbines, with the ultimate goal of improving performance, stability, and efficiency in micro grid power generation systems. The fuzzy logic controller employed in this study utilizes various inputs, including turbine speed, water flow rate, generator voltage, grid frequency, and load demand, to generate appropriate control signals. To enable this process, the inputs undergo transformation into fuzzy sets using a fuzzifier. The fuzzifier converts crisp inputs into fuzzy values, assigning membership grades accordingly. By integrating fuzzy logic, fuzzifier, defuzzifier, and rule-based selector, the smart turbine becomes capable of making intelligent decisions based on real-time sensor data and predefined control rules. This comprehensive approach empowers the turbine to adapt its operations effectively and optimize energy generation within the micro grid power system. The experimental implementation and evaluation of the proposed approach demonstrate its effectiveness in achieving the desired control objectives. The utilization of fuzzy logic, in conjunction with the fuzzifier, defuzzifier, and rule-based selector, offers a robust and flexible solution for controlling smart turbines in micro grid power generators. Notably, the study's results showcase the significant improvement in hydropower turbine rotation speed, from 65m/s to 319.8m/s, when the water level reaches 4m on the dam.