Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids
With smart grids replacing conventional power grids and rapidly expanding in both space and time, ensuring an acceptable system observability becomes a challenge in spatio-temporal expanding power grids. In addition, system operators face another challenge, namely, financial budget constraints. To a...
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| مؤلفون آخرون: | , , , |
| التنسيق: | article |
| منشور في: |
2019
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| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/21638 |
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| _version_ | 1864513435824291840 |
|---|---|
| author | Atat, Rachad |
| author2 | Ismail, Muhammad Shaaban, Mostafa Serpedin, Erchin Overbye, Thomas |
| author2_role | author author author author |
| author_facet | Atat, Rachad Ismail, Muhammad Shaaban, Mostafa Serpedin, Erchin Overbye, Thomas |
| author_role | author |
| dc.creator.none.fl_str_mv | Atat, Rachad Ismail, Muhammad Shaaban, Mostafa Serpedin, Erchin Overbye, Thomas |
| dc.date.none.fl_str_mv | 2019 2022-02-09T09:17:19Z 2022-02-09T09:17:19Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | R. Atat, M. Ismail, M. F. Shaaban, E. Serpedin and T. Overbye, "Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids," in IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2080-2091, May 2020, doi: 10.1109/TSG.2019.2947148. 1949-3061 http://hdl.handle.net/11073/21638 10.1109/TSG.2019.2947148 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/TSG.2019.2947148 |
| dc.subject.none.fl_str_mv | Stochastic geometry Distribution system Transmission system Spatio-temporal expanding power grid Grid state uncertainty Meter placement |
| dc.title.none.fl_str_mv | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids |
| dc.type.none.fl_str_mv | Peer-Reviewed Postprint info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | With smart grids replacing conventional power grids and rapidly expanding in both space and time, ensuring an acceptable system observability becomes a challenge in spatio-temporal expanding power grids. In addition, system operators face another challenge, namely, financial budget constraints. To address these challenges, a metering equipment allocation strategy for monitoring of the power grid state needs to be dynamic in both space and time. Unfortunately, existing metering allocation strategies are quite limited. They usually deal with static power grid topologies, and hence, do not reflect the spatio-temporal expansion of the power grid. In this paper, a spatio-temporal power grid model is proposed based on stochastic geometry, which we show that it is in a good match with real-world power grids. The proposed model enables us to carry out tractable dynamic allocation of metering equipment in a large (city-wide) and structurally evolving power grid. Using the developed model, a multi-year algorithm for the allocation of metering equipment is proposed based on finite horizon dynamic programming, given budgetary and technical constraints on system observability. Several case studies for metering allocation are demonstrated through simulation results. |
| format | article |
| id | aus_8cb0c76c142cfd4b6dec44fa893c3eab |
| identifier_str_mv | R. Atat, M. Ismail, M. F. Shaaban, E. Serpedin and T. Overbye, "Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids," in IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2080-2091, May 2020, doi: 10.1109/TSG.2019.2947148. 1949-3061 10.1109/TSG.2019.2947148 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21638 |
| publishDate | 2019 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power GridsAtat, RachadIsmail, MuhammadShaaban, MostafaSerpedin, ErchinOverbye, ThomasStochastic geometryDistribution systemTransmission systemSpatio-temporal expanding power gridGrid state uncertaintyMeter placementWith smart grids replacing conventional power grids and rapidly expanding in both space and time, ensuring an acceptable system observability becomes a challenge in spatio-temporal expanding power grids. In addition, system operators face another challenge, namely, financial budget constraints. To address these challenges, a metering equipment allocation strategy for monitoring of the power grid state needs to be dynamic in both space and time. Unfortunately, existing metering allocation strategies are quite limited. They usually deal with static power grid topologies, and hence, do not reflect the spatio-temporal expansion of the power grid. In this paper, a spatio-temporal power grid model is proposed based on stochastic geometry, which we show that it is in a good match with real-world power grids. The proposed model enables us to carry out tractable dynamic allocation of metering equipment in a large (city-wide) and structurally evolving power grid. Using the developed model, a multi-year algorithm for the allocation of metering equipment is proposed based on finite horizon dynamic programming, given budgetary and technical constraints on system observability. Several case studies for metering allocation are demonstrated through simulation results.National Priorities Research Program (NPRP) from the Qatar National Research FundIEEE2022-02-09T09:17:19Z2022-02-09T09:17:19Z2019Peer-ReviewedPostprintinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfR. Atat, M. Ismail, M. F. Shaaban, E. Serpedin and T. Overbye, "Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids," in IEEE Transactions on Smart Grid, vol. 11, no. 3, pp. 2080-2091, May 2020, doi: 10.1109/TSG.2019.2947148.1949-3061http://hdl.handle.net/11073/2163810.1109/TSG.2019.2947148en_UShttps://doi.org/10.1109/TSG.2019.2947148oai:repository.aus.edu:11073/216382024-08-22T12:08:04Z |
| spellingShingle | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids Atat, Rachad Stochastic geometry Distribution system Transmission system Spatio-temporal expanding power grid Grid state uncertainty Meter placement |
| status_str | publishedVersion |
| title | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids |
| title_full | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids |
| title_fullStr | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids |
| title_full_unstemmed | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids |
| title_short | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids |
| title_sort | Stochastic Geometry-Based Model for Dynamic Allocation of Metering Equipment in Spatio-Temporal Expanding Power Grids |
| topic | Stochastic geometry Distribution system Transmission system Spatio-temporal expanding power grid Grid state uncertainty Meter placement |
| url | http://hdl.handle.net/11073/21638 |