Development of a Digital Twin-Based AdvancedControl Strategy for Static Excitation Systems inHydro Power Plants: Using Zimbabwe as aModel Case Study

Author(s)	Ms. Charmaine Avril Mazvita Mafika, Mr. Kudzai Bradley Chimonyo
Country	Australia
Abstract	This dissertation explores how we can make static excitation systems in hydroelectric power plants work better in real-time, specifically looking at Zimbabwe. A control strategy is developed that uses a "digital twin" – essentially, a virtual copy – to mix dynamic modeling and real-time monitoring. The aim is to boost how quickly the system responds to changes in hydroelectric output. The findings generally suggest that this digital twin approach makes predictions about the system's behavior much more accurate when things are changing, which, in most cases, helps cut down on downtime and makes generating power more efficient. Beyond just hydro power, these results could shape advanced control strategies in energy management more broadly, especially in places facing similar environmental issues. By using real-time data and predictive analytics, the research works to optimize renewable energy systems. It also shows why it's important to have adaptive control strategies for sustainable energy worldwide. The insights may encourage progress in digital technologies applicable to other fields, highlighting the need to integrate innovative approaches in managing dynamic systems to meet the rising demand for reliable energy.
Keywords	Digital Twin, Control Strategy, Static Excitation.
Field	Engineering
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-07-05

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