Optimal Redundant Sensor Placement for Protection Blinding in Active Distribution Grids

Integrating renewable energy sources into the power distribution grid challenges protection system operation, leading to protection blinding when circuit breakers fail to trip due to fault current contribution from these sources. Communication-based adaptive protection can address this issue, but communication system components like sensors can fail. This research proposes a genetic algorithm-based approach to optimally place redundant sensors, minimising protection blinding under communication uncertainty within a redundancy budget. The fault tolerance, measured by a new metric called redundancy degree, reflects the number of redundant components deployed. Results demonstrate the algorithm’s effectiveness in optimising redundant sensor locations, reducing system costs, and improving fault tolerance. For the system and scenarios investigated, an average of 60% redundant sensors are relocated, reducing the average protection trip time by 36.65% compared to a baseline approach that does not consider communication uncertainty. This encourages incorporating communication component failure considerations in power system planning.

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Publication Details

Journal
IEEE Transactions on Network and Service Management
Published
2024-11-13
DOI
https://doi.org/10.1109/tnsm.2024.3497296
Citations
1
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.33

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article

Optimal Redundant Sensor Placement for Protection Blinding in Active Distribution Grids

Amit Dilip Patil, Abdorasoul Ghasemi, Hermann de Meer
1 citations
IEEE Transactions on Network and Service Management
Smart Grid Security and Resilience
0.33
article

Optimal Redundant Sensor Placement for Protection Blinding in Active Distribution Grids

Amit Dilip Patil, Abdorasoul Ghasemi, Hermann de Meer
article en
1 citations

Abstract

Integrating renewable energy sources into the power distribution grid challenges protection system operation, leading to protection blinding when circuit breakers fail to trip due to fault current contribution from these sources. Communication-based adaptive protection can address this issue, but communication system components like sensors can fail. This research proposes a genetic algorithm-based approach to optimally place redundant sensors, minimising protection blinding under communication uncertainty within a redundancy budget. The fault tolerance, measured by a new metric called redundancy degree, reflects the number of redundant components deployed. Results demonstrate the algorithm’s effectiveness in optimising redundant sensor locations, reducing system costs, and improving fault tolerance. For the system and scenarios investigated, an average of 60% redundant sensors are relocated, reducing the average protection trip time by 36.65% compared to a baseline approach that does not consider communication uncertainty. This encourages incorporating communication component failure considerations in power system planning.

IEEE Transactions on Network and Service ManagementVol. 22(2)
University of Passau (DE), Coventry University (GB)
Alexander von Humboldt-Stiftung, Deutsche Forschungsgemeinschaft
Affordable and clean energy
Openalex Percentile: Top 39%
Smart Grid Security and Resilience
0.33
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Optimal Redundant Sensor Placement for Protection Blinding in Active Distribution Grids — Amit Dilip Patil, Abdorasoul Ghasemi, et al. · IEEE Transactions on Network and Service Management (2024) | TGRS Research Map | TGRS