Modelling of variable-speed refrigeration for fast-frequency control in low-inertia systems

Autor: Evangelos Vrettos, Gabriela Hug, Uros Markovic, Johanna Vorwerk, Petros Aristidou
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Frequency response
Computer science
Digital storage
Automatic frequency control
power system control
reduced order systems
thermal storage time constants
single-phase vsr unit
frequency-domain analyses
Transfer function
DC motor
power system stability
Refrigeration
thermal loads
Storage as a service
Heat storage
small-signal stability analysis
time-domain simulations
Economic and social effects
low-inertia systems
brushless dc motors
Grid
Frequency domain
shiftable loads
Natural Sciences
lcsh:TK1-9971
Information Systems
Computer and Information Sciences
Computer Networks and Communications
Time domain analysis
Brushless DC motors
Systems and Control (eess.SY)
Electrical Engineering and Systems Science - Systems and Control
power systems
Electric power system
frequency control
refrigeration
Robustness (computer science)
FOS: Electrical engineering
electronic engineering
information engineering

variable-speed refrigeration technology
Electrical and Electronic Engineering
large-scale systems
fast-frequency control
fast-frequency response
reduced-order models
Control engineering
power grids
time-domain analysis
frequency-domain analysis
transfer functions
frequency response
lcsh:Electrical engineering. Electronics. Nuclear engineering
Zdroj: IET Smart Grid, 3 (6)
IET Smart Grid (2020)
Popis: In modern power systems, shiftable loads contribute to the flexibility needed to increase robustness and ensure security. Thermal loads are among the most promising candidates for providing such service due to the large thermal storage time constants. This study demonstrates the use of variable-speed refrigeration (VSR) technology, based on brushless DC motors, for the fast-frequency response. First, the authors derive a detailed dynamic model of a single-phase VSR unit suitable for time-domain and small-signal stability analysis in low-inertia systems. For analysing dynamic interactions with the grid, they consider the aggregated response of multiple devices. However, the high computational cost involved in analysing large-scale systems leads to the need for reduced-order models. Thus, a set of reduced-order models is derived through transfer function fitting of data obtained from time-domain simulations of the detailed model. The modelling requirements and the accuracy versus computational complexity trade-off are discussed. Finally, the time-domain performance and frequency-domain analyses reveal substantial equivalence between the full- and suitable reduced-order models, allowing the application of simplified models in large-scale system studies.
IET Smart Grid, 3 (6)
Databáze: OpenAIRE