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Journal article · Ahead of Print article

Control parameterisation for POD via software-in-the-loop simulation

From

Department of Electrical Engineering, Technical University of Denmark1

Center for Electric Power and Energy, Centers, Technical University of Denmark2

Energy System Management, Center for Electric Power and Energy, Centers, Technical University of Denmark3

Electric Power Systems, Center for Electric Power and Energy, Centers, Technical University of Denmark4

Siemens A/S5

University of California at San Diego6

The parameter optimisation of designed controllers for power systems is always a big concern and needs a lot of effort of researchers especially when the electricity grid becomes larger and more complex. This study proposes a control parameterisation using genetic algorithms (GAs) for power oscillation damping (POD) incorporating synchronous condensers (SCs) via software-in-the-loop simulation to enhance the damping and frequency stability for low-inertia systems.

A closed-loop interfaced setup among real-time digital simulator, MATLAB, and OLE for process communication running in real time is analysed and implemented to optimise the POD parameters of a SC. Furthermore, a Prony technique based on the system measurement is applied to find out the frequency and damping ratio of the dominant oscillation mode.

The POD optimal parameters are determined by the GA objective function that maximises the damping ratio of the dominant oscillation mode. The effectiveness of the proposed method in damping power oscillations and frequency stability improvement is verified through simulation results of the future western Danish power system.

Simulation results demonstrate that the proposed approach offers good performance for parameter optimisation of the POD.

Language: English
Publisher: IET
Year: 2019
Pages: 4864-4868
Proceedings: 7th International Conference on Renewable Power Generation
ISSN: 20513305
Types: Journal article and Ahead of Print article
DOI: 10.1049/joe.2018.9331
ORCIDs: Nguyen, Ha Thi , Yang, Guangya and Nielsen, Arne Hejde

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