Model Predictive Control Based Hydraulic Turbine Power Regulating System for Hydropower Plant Case Study: Genale Dawa Hydropower plant

Abstract

This study provides a comprehensive analysis of a hydraulic turbine governor regulating system that utilizes Model Predictive Control (MPC). The research focuses on the Genale Dawa Hydropower Plant in Ethiopia, which is currently in operation. The objective of the study is to enhance the performance and efficiency of the hydropower plant by implementing advanced control strategies. These controllers are often utilized in hydro turbine governor applications, but their effectiveness is limited by their reliance on linear plant models and fixed parameter sets. These control systems are optimized only for specific operating points, known as predetermined set points, and lack the adaptability and versatility necessary for use in hydropower plants with inherent non-linearity. To address this issue, this research the use defines of a model predictive control scheme to serve as a load governor in hydro turbines. The thesis's scientific contributions include a MPC algorithm developed for hydro turbine governor load control. The MPC algorithm is specifically designed to optimize the operation of the hydraulic turbine governor in real-time, taking into account system dynamics, constraints, and objectives. The simulation results demonstrate that the proposed system effectively improves the stability and efficiency of the plant by reducing oscillations in power output. Moreover, the system showcases its ability to adapt to changes in load and operating conditions, ensuring a stable and efficient operation of the plant. This proposed system has significant implications for the operation and maintenance of hydropower plants, particularly in areas where the power grid experiences frequent fluctuations in demand. By adapting to changing conditions and optimizing the governor's response, the system can help mitigate the risk of power outages and enhance the overall efficiency of the plant. In conclusion, this study highlights the potential of Model Predictive Control-based hydraulic turbine governor regulating systems in enhancing the stability and efficiency of hydropower plants.