Experiment Specification TC14.TS2.ES1

PHIL simulation for frequency stability assessment of renewable-based systems using SI and FFR support from converter-based resources

Experiment Specification Definition

ID

TC14.TS2.ES1

Reference to Test Specification

TS2

Title of Experiment

PHIL simulation for frequency stability assessment of renewable-based systems using SI and FFR support from converter-based resources

Research Infrastructure

UST

Experiment Realisation

In this case a PHIL experiment is implemented for a more realistic assessment of the response of the converter interface resource to fast frequency changes. For consistency purposes, the same reference model (IEEE 9 bus) as used for the pure simulation experiment is simulated. This model is complemented with the addition of a converter interfaced hardware resource (in this case an ESS but could be of other type if required) in which the algorithms of SE and FFR will be implemented.

Different disturbances such as load increase or SG trip are carried out to evaluate ROCOF and frequency deviation of the system with SI/FFR in services.

Experiment Setup (concrete lab equipment)

For the experimental setup an RTDS is used for the running the real-time simulation model, this will be coupled to the hardware under test through a PHIL interface composed of a 90kVA switched mode amplifier which communicates with the RTDS through analog or digital communications. The HUT is formed by a hybrid energy storage system with a 10kWh Li-ion battery and a supercapacitor.

Experimental Design and Justification

The PHIL experiment objective is to validate the stability of the system when the real hardware providing fast frequency support is interacting with the rest of the power system. By performing this experiment, possible issues introduced by the dynamics of the real hardware and the interactions between devices in the system are identified.

Precision of equipment and measurement uncertainty
Storage of experiment data

Data will be collected at different locations (both in hardware and simulation) with a sufficient sampling rate to allow the identification of problems.