Abstract
Decarbonisation of the electric power industry using Renewable Energy Sources (RESs), such as wind and solar, is progressing towards achieving global net-zero emission targets. Unlike conventional fossil fuel power plants connected at the Transmission System Operator (TSO) level, a significant share of RESs is connected at the Distribution System Operator (DSO) level, causing a major change in the power supply system structure. This transition introduces challenges related to power quality and stability, including voltage profile, frequency control, system inertia, three-phase asymmetry, and harmonics. These issues are expected to intensify and require proactive solutions.
To address these challenges, the Energy Supply Laboratory at South Westphalia University of Applied Sciences, led by Prof. Dr.-Ing. Egon Ortjohann, developed the Clustering Power System Approach (CPSA). CPSA focuses on transferring dynamic control and ancillary service functions from the TSO level to the DSO level using a decentralised control structure. This research identifies four essential measurement functions to support this transition:
1.
Power Quality Analyser (PQA) Functions: Necessary for system-wide monitoring of DSO networks and network condition assessment.
2.
Phasor Measurement Unit (PMU) Functions: Crucial for advanced monitoring to observe quasi-steady-state network variables and enhance dynamic control.
3.
Real-time detection of DSO network conditions: Enables power electronic devices to counteract power quality issues and interact with the DSO grid down to sub-transient periods.
4.
Grid dynamic response identification function: Important for improving control and understanding the dynamic response of DSO networks.
This thesis presents the development, implementation, and field testing of these measurement functions. The results illustrate their effectiveness in supporting the transfer of ancillary services to the DSO level in conjunction with other system components based on CPSA.