A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster
Abstract A disaster disrupts energy trading between the distribution network (DN) and autonomous areas in the multi‐area active distribution network (MA‐ADN). Since these areas are self‐interested agents, the energy transaction cost between them should be considered when determining the grid restora...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
|
| Series: | IET Renewable Power Generation |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/rpg2.13042 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832579828267614208 |
|---|---|
| author | Hekmat Beiranvandi Amin Samanfar Meysam Doostizadeh Reza Saki |
| author_facet | Hekmat Beiranvandi Amin Samanfar Meysam Doostizadeh Reza Saki |
| author_sort | Hekmat Beiranvandi |
| collection | DOAJ |
| description | Abstract A disaster disrupts energy trading between the distribution network (DN) and autonomous areas in the multi‐area active distribution network (MA‐ADN). Since these areas are self‐interested agents, the energy transaction cost between them should be considered when determining the grid restoration scheme. In this regard, a new three‐level resilience‐oriented restoration (TLROR) framework is proposed to optimally schedule available tie‐lines, and distributed energy resources (DERs) in the MA‐ADN, considering the autonomy and privacy of their ownership. In the first level of the proposed TLROR, an electrical price vector (EPV) is created with the contribution of different areas. In the second level, each area should calculate the amount of imported active and reactive power from the DN through its tie branches and save it in the transactive power list (TPL). Finally, at the third level, the transactive energy market is cleared by the DN operator considering economic issues and operating limits. The proposed method provides energy transactions between independent agents to enhance MA‐ADN resiliency, with the least information sharing, and privacy preserving. The effectiveness of the proposed method is verified using the modified IEEE 33‐bus MA‐ADN and a part of the DN in the Pol‐e Dokhtar in the Lorestan province of Iran. |
| format | Article |
| id | doaj-art-d04d6845d7ff44e2a17149bf7fec2974 |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-d04d6845d7ff44e2a17149bf7fec29742025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163810382410.1049/rpg2.13042A resilience‐oriented restoration framework for multi‐area active distribution network following a disasterHekmat Beiranvandi0Amin Samanfar1Meysam Doostizadeh2Reza Saki3Department of Electrical Engineering Khorramabad Branch, Islamic Azad University Khorramabad IranDepartment of Electrical Engineering Khorramabad Branch, Islamic Azad University Khorramabad IranFaculty of Engineering Lorestan University Lorestan IranDepartment of Electrical Engineering, Doroud Branch Islamic Azad University Doroud IranAbstract A disaster disrupts energy trading between the distribution network (DN) and autonomous areas in the multi‐area active distribution network (MA‐ADN). Since these areas are self‐interested agents, the energy transaction cost between them should be considered when determining the grid restoration scheme. In this regard, a new three‐level resilience‐oriented restoration (TLROR) framework is proposed to optimally schedule available tie‐lines, and distributed energy resources (DERs) in the MA‐ADN, considering the autonomy and privacy of their ownership. In the first level of the proposed TLROR, an electrical price vector (EPV) is created with the contribution of different areas. In the second level, each area should calculate the amount of imported active and reactive power from the DN through its tie branches and save it in the transactive power list (TPL). Finally, at the third level, the transactive energy market is cleared by the DN operator considering economic issues and operating limits. The proposed method provides energy transactions between independent agents to enhance MA‐ADN resiliency, with the least information sharing, and privacy preserving. The effectiveness of the proposed method is verified using the modified IEEE 33‐bus MA‐ADN and a part of the DN in the Pol‐e Dokhtar in the Lorestan province of Iran.https://doi.org/10.1049/rpg2.13042disastersmulti‐agent systemspower system restoration |
| spellingShingle | Hekmat Beiranvandi Amin Samanfar Meysam Doostizadeh Reza Saki A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster IET Renewable Power Generation disasters multi‐agent systems power system restoration |
| title | A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster |
| title_full | A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster |
| title_fullStr | A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster |
| title_full_unstemmed | A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster |
| title_short | A resilience‐oriented restoration framework for multi‐area active distribution network following a disaster |
| title_sort | resilience oriented restoration framework for multi area active distribution network following a disaster |
| topic | disasters multi‐agent systems power system restoration |
| url | https://doi.org/10.1049/rpg2.13042 |
| work_keys_str_mv | AT hekmatbeiranvandi aresilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster AT aminsamanfar aresilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster AT meysamdoostizadeh aresilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster AT rezasaki aresilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster AT hekmatbeiranvandi resilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster AT aminsamanfar resilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster AT meysamdoostizadeh resilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster AT rezasaki resilienceorientedrestorationframeworkformultiareaactivedistributionnetworkfollowingadisaster |