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Adaptive speed controller for micro gas turbine systems using evolutionary search based on genetic algorithms

• Authors Details :  
• Engr. Olowoyeyejoseph,  
• Dr. Ogbonna Bartholomew Odinaka

128 Views Original Article

Micro Gas Turbines (MGTs) are compact power generation systems that offer several advantages such as highpower density, low emissions, and fuel flexibility. They are commonly used in remote areas where grid connectivity is limited or unreliable. However, MGTs suffer from inherent instability issues due to their small size and high rotational speeds. These instabilities can lead to irregular speed responses, affecting the overall performance and reliability of the system. To address these concerns, the researchers utilized a genetic algorithm (GA)-based approach and conducted sensitivity studies to analyze the iteration parameter of the GA and its impact on the speed response of the MGTs. To evaluate the performance of the developed solution, they employed the Mean Step of Absolute Speed Error (MSASE) evaluation metric and compared the outcomes of the proposed strategy with a baseline Proportional Integral (PI)-only solution. The results demonstrated that the proposed solution surpassed the baseline approach by delivering a superior error response. Similarly, the findings suggested that the optimal iteration parameter setting for the GA was a maximum of 30 compared to 20 and 10 consequently lessening the settling time from 140s to 60s. Accordingly, the researchers concluded that optimizing the GA's iteration parameter could lead to enhanced stability in the speed response of the MGT units. Subsequently, this can bolster the power generation capacities of the units, highlighting the potential for enhanced efficiency and stability in MGT operations. As a final recommendation, the study advised practitioners working with MGTs to adopt the proposed GA-based speed control strategy to optimize the overall performance and reliability of these units.

Article Subject Details

• Engineering

Article Keywords Details

• Adaptive speed controller
• Genetic algorithm (GA)
• Mean Step of Absolute Speed Error (MSASE) evaluation metric
• Micro Gas Turbines (MGTs)
• Power generation systems

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