Preprint Article Version 1 This version is not peer-reviewed

Probabilistic Stability Analysis of Fault-Initiated Islanding Microgrids Without Inertia

Version 1 : Received: 29 May 2020 / Approved: 31 May 2020 / Online: 31 May 2020 (19:48:21 CEST)

How to cite: Roos, M.; Nguyen, P.; Morren, J.; Slootweg, H. Probabilistic Stability Analysis of Fault-Initiated Islanding Microgrids Without Inertia. Preprints 2020, 2020050498 (doi: 10.20944/preprints202005.0498.v1). Roos, M.; Nguyen, P.; Morren, J.; Slootweg, H. Probabilistic Stability Analysis of Fault-Initiated Islanding Microgrids Without Inertia. Preprints 2020, 2020050498 (doi: 10.20944/preprints202005.0498.v1).

Abstract

Microgrids can be islanded to improve the reliability of the electrical energy supply during contingencies such as faults. It is still unclear what stability phenomena can occur in microgrids without inertia during and immediately after the fault-initiated islanding transient, and how the stability should be evaluated. To allow robust planning and operation, a stability analysis methodology should be able to take into account the inherent uncertainty of load and renewable energy sources. Therefore, this paper proposes a probabilistic stability analysis methodology for fault-initiated islanding of microgrids based on a thorough analysis of the root causes of instability during islanding transients. To perform stability analysis within reasonable time and allow control actions during operation, dynamical microgrid models in the dq reference frame are described and validated by comparing time-domain simulations results to previously validated component-based models. The stability analysis methodology is demonstrated in a case study of a generic microgrid. The instability phenomena and the dq microgrid models are successfully validated, and the results indicate that the stability analysis methodology can assist the microgrid operator to improve fault-initiated islanding capability in order to improve reliability of supply.

Subject Areas

Power system stability; Microgrids; Stability analysis; Islanding; Inertia

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