Optimal MBU positioning under fault scenario for distribution networks with high PV Penetration

Faults on distribution networks due to abnormal weather events can lead to disruption and can cause high socio-economic losses. In line with the rising frequency of such events, the paper proposes an algorithm for the optimal deployment of mobile battery units to restore sections of the network. The considered battery units are rated at 1MVA to keep them realistic for the mobi le application. The placement algorithm is formulated as a mixed integer mathematical optimisation problem. Sectionalising / tie switches are assumed on each branch of the network in order to increase the restoration configuration flexibility. Photovoltaic systems, distributed along the network, are allowed to contribute to the restored network sections. A number of critical loads are defined and these are prioritised in the restoration process. The objective function also considers the reduction of the overall renewable energy curtailment. The performance of the algorithm is tested on the IEEE 33 bus network with four tie lines. Scenarios with increasing levels of PV power are considered and the effect of incorporating the PV power is studied.

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Publication Details

Journal
IET conference proceedings.
Published
2025-02-01
DOI
https://doi.org/10.1049/icp.2024.4639
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
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article

Optimal MBU positioning under fault scenario for distribution networks with high PV Penetration

Alexander Micallef, Kenneth Scerri, Cedric Caruana, Reiko Raute et al.
IET conference proceedings.
Smart Grid Energy Management
article

Optimal MBU positioning under fault scenario for distribution networks with high PV Penetration

Alexander Micallef, Kenneth Scerri, Cedric Caruana, Reiko Raute, Somesh Bhattacharya
article en

Abstract

Faults on distribution networks due to abnormal weather events can lead to disruption and can cause high socio-economic losses. In line with the rising frequency of such events, the paper proposes an algorithm for the optimal deployment of mobile battery units to restore sections of the network. The considered battery units are rated at 1MVA to keep them realistic for the mobi le application. The placement algorithm is formulated as a mixed integer mathematical optimisation problem. Sectionalising / tie switches are assumed on each branch of the network in order to increase the restoration configuration flexibility. Photovoltaic systems, distributed along the network, are allowed to contribute to the restored network sections. A number of critical loads are defined and these are prioritised in the restoration process. The objective function also considers the reduction of the overall renewable energy curtailment. The performance of the algorithm is tested on the IEEE 33 bus network with four tie lines. Scenarios with increasing levels of PV power are considered and the effect of incorporating the PV power is studied.

IET conference proceedings.Vol. 2024(29)
University of Malta (MT)
Climate action
Openalex Percentile: Top 97%
Smart Grid Energy Management
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