Power System Stability of Small Synchronous Generators - Minimal-Complexity AVR Strategies

03.11.2025, Diplomarbeiten, Bachelor- und Masterarbeiten

Analysis of Minimal-Complexity AVR Strategies for Small CHP Units to Ensure Grid Code Compliance

This is intended to be a Bachelor Thesis or a Research Internship / Engineering Internship. For a related Master Thesis topic please check the link below.

Automatic Voltage Regulators (AVRs) are essential for the stability of synchronous generators. For small Combined Heat and Power (CHP) units integrated into distribution grids, these controllers must not only ensure stable operation but also fulfill increasingly strict grid connection codes, including active network support.

While complex, standardized AVR models are well-understood, their implementation in smaller-scale CHP units raises questions of economic viability and operational necessity. This creates a strong practical demand for robust, cost-effective, and simple-to-implement control solutions. This work investigates the fundamental boundary of "how simple can an AVR be" while still guaranteeing safety and compliance.

This thesis aims to define and analyze minimal-complexity control strategies for small CHP generators, based on a real-world case study. The central question is: What is the simplest possible control structure (e.g., basic rule-based logic, simplified feedback loops, or other minimal-complexity approaches) that can reliably fulfill all operational and safety requirements?

The focus will be on modeling these minimalist control strategies and evaluating their dynamic performance against critical grid events, particularly during grid faults (e.g., Low Voltage Ride Through scenarios). The work will systematically identify the trade-offs between reduced complexity and performance, aiming to define the definitive threshold where simplification leads to non-compliance or unsafe operation.

Requirements:

• Solid understanding of electrical power systems, synchronous generators, and control theory.
• First experience with power system simulation software Powerfactory beneficial.
• Basic programming skills (e.g., Python) for data analysis and model scripting are beneficial.

Kontakt: sebastian.eichhorn@tum.de

More Information

https://collab.dvb.bayern/spaces/TUMeptd/pages/108300401/Bachelor+s+and+Master+s+Theses+or+Research+Internship+Bachelor-+und+Masterarbeiten+oder+Forschungspraxis