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Journal article

Inertia Dependent Droop Based Frequency Containment Process

From

Integration & Planning, Department of Wind Energy, Technical University of Denmark1

Department of Wind Energy, Technical University of Denmark2

Izmir Institute of Technology3

Presently, there is a large need for a better understanding and extensive quantification of grid stability for different grid conditions and controller settings. This article therefore proposes and develops a novel mathematical model to study and perform sensitivity studies for the capabilities of different technologies to provide Frequency Containment Process (FCP) in different grid conditions.

A detailed mathematical analytical approach for designing inertia-dependent droop-based FCP is developed and presented in this article. Impacts of different droop settings for generation technologies operating with different inertia of power system can be analyzed through this mathematical approach resulting in proper design of droop settings.

In contrast to the simulation-based model, the proposed novel mathematical model allows mathematical quantification of frequency characteristics such as nadir, settling time, ROCOF, time to reach the nadir with respect to controller parameters such as gain, droop, or system parameters such as inertia, volume, of imbalance.

Comparative studies between cases of frequency containment reserves (FCR) provision from conventional generators and wind turbines (WTs) are performed. Observations from these simulations are analyzed and explained with the help of an analytical approach which provides the feasible range of droop settings for different values of system inertia.

The proposed mathematical approach is validated on simulated Continental Europe (CE) network. The results show that the proposed methodology can be used to design the droop for different technology providing FCP in a power system operating within a certain range of inertia.

Language: English
Publisher: MDPI AG
Year: 2019
ISSN: 19961073
Types: Journal article
DOI: 10.3390/en12091648
ORCIDs: Das, Kaushik , Hansen, Anca Daniela and Sørensen, Poul E.

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