A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events
A fast and scalable heuristic transmission switching (TS) algorithm for boosting resilience by reducing the load shed in electricity networks impacted by extreme weather events (EWEs) is presented. Finding the best transmission line to switch within a suitable time is the main challenge for wider ap...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9785895/ |
| _version_ | 1811244896866009088 |
|---|---|
| author | Tanveer Hussain Siddharth Suryanarayanan Timothy M. Hansen S. M. Shafiul Alam |
| author_facet | Tanveer Hussain Siddharth Suryanarayanan Timothy M. Hansen S. M. Shafiul Alam |
| author_sort | Tanveer Hussain |
| collection | DOAJ |
| description | A fast and scalable heuristic transmission switching (TS) algorithm for boosting resilience by reducing the load shed in electricity networks impacted by extreme weather events (EWEs) is presented. Finding the best transmission line to switch within a suitable time is the main challenge for wider applicability of TS. Here, we propose an algorithm that: i) finds the optimal TS candidate faster than well-known algorithms; ii) is compatible with existing optimal power flow formulations; and iii) scales for larger, realistic systems. Proof-of-concept results on the IEEE 39-bus, IEEE 118-bus, and the large-scale Polish 2383-bus systems validate our claims. Further, a case study of TS for improving grid resilience in a real-life hurricane event (Harvey, 2017) using a synthetic version of Texas’ ERCOT electric grid is presented for practical application. Finally, a path forward to utilize our proposed TS algorithms for evolving EWEs is discussed. |
| first_indexed | 2024-04-12T14:32:42Z |
| format | Article |
| id | doaj.art-b1270f574c124869ae0262e2c41becdb |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-12T14:32:42Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b1270f574c124869ae0262e2c41becdb2022-12-22T03:29:13ZengIEEEIEEE Access2169-35362022-01-0110578935790110.1109/ACCESS.2022.31794709785895A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather EventsTanveer Hussain0https://orcid.org/0000-0002-1843-1517Siddharth Suryanarayanan1https://orcid.org/0000-0002-9509-6927Timothy M. Hansen2https://orcid.org/0000-0001-8096-1255S. M. Shafiul Alam3https://orcid.org/0000-0002-6276-9443Electrical Engineering and Computer Science Department, South Dakota State University (SDSU), Brookings, SD, USAElectrical Engineering and Computer Science Department, South Dakota State University (SDSU), Brookings, SD, USAElectrical Engineering and Computer Science Department, South Dakota State University (SDSU), Brookings, SD, USAIdaho National Laboratory (INL), Idaho Falls, ID, USAA fast and scalable heuristic transmission switching (TS) algorithm for boosting resilience by reducing the load shed in electricity networks impacted by extreme weather events (EWEs) is presented. Finding the best transmission line to switch within a suitable time is the main challenge for wider applicability of TS. Here, we propose an algorithm that: i) finds the optimal TS candidate faster than well-known algorithms; ii) is compatible with existing optimal power flow formulations; and iii) scales for larger, realistic systems. Proof-of-concept results on the IEEE 39-bus, IEEE 118-bus, and the large-scale Polish 2383-bus systems validate our claims. Further, a case study of TS for improving grid resilience in a real-life hurricane event (Harvey, 2017) using a synthetic version of Texas’ ERCOT electric grid is presented for practical application. Finally, a path forward to utilize our proposed TS algorithms for evolving EWEs is discussed.https://ieeexplore.ieee.org/document/9785895/Contingency analysisextreme weather eventshigh-performance computingload shed reductionpost contingency violationsresilience |
| spellingShingle | Tanveer Hussain Siddharth Suryanarayanan Timothy M. Hansen S. M. Shafiul Alam A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events IEEE Access Contingency analysis extreme weather events high-performance computing load shed reduction post contingency violations resilience |
| title | A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events |
| title_full | A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events |
| title_fullStr | A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events |
| title_full_unstemmed | A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events |
| title_short | A Fast and Scalable Transmission Switching Algorithm for Boosting Resilience of Electric Grids Impacted by Extreme Weather Events |
| title_sort | fast and scalable transmission switching algorithm for boosting resilience of electric grids impacted by extreme weather events |
| topic | Contingency analysis extreme weather events high-performance computing load shed reduction post contingency violations resilience |
| url | https://ieeexplore.ieee.org/document/9785895/ |
| work_keys_str_mv | AT tanveerhussain afastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents AT siddharthsuryanarayanan afastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents AT timothymhansen afastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents AT smshafiulalam afastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents AT tanveerhussain fastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents AT siddharthsuryanarayanan fastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents AT timothymhansen fastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents AT smshafiulalam fastandscalabletransmissionswitchingalgorithmforboostingresilienceofelectricgridsimpactedbyextremeweatherevents |