Bi-level coordinated restoration for the distribution system and multi-microgrids
Microgrids (MGs) play an important role in enhancing the resilience of distribution systems (DSs). However, each MG has its own operation scheme and the ownership obstructs the coordination of restoration resources from different MGs. To address this problem, this paper proposes a bi-level coordinat...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524005945 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832595375417982976 |
|---|---|
| author | Hao Zhu Xiaotian Sun Haipeng Xie Lingfeng Tang Zhaohong Bie |
| author_facet | Hao Zhu Xiaotian Sun Haipeng Xie Lingfeng Tang Zhaohong Bie |
| author_sort | Hao Zhu |
| collection | DOAJ |
| description | Microgrids (MGs) play an important role in enhancing the resilience of distribution systems (DSs). However, each MG has its own operation scheme and the ownership obstructs the coordination of restoration resources from different MGs. To address this problem, this paper proposes a bi-level coordinated restoration framework for the distribution system operators (DSOs) and the microgrid operators (MGOs). In the framework, MGOs report their surplus capacity to DSO once an extreme event occurs, and then DSO dispatches its own resources and orders MGOs’ supporting capacity. After receiving the order, MGOs dispatch distributed generators and energy storage systems to provide the surplus power. The proposed framework is capable of finding the optimal restoration scheme provided that the autonomy of MGs is retained. The stochastic programming is leveraged to model the uncertainty of renewable energy, and the coordinated restoration framework is formulated as a bi-level mixed integer linear programming (BMILP). The relaxation-based bi-level reformulation and decomposition (RBRD) algorithm is adopted to effectively achieve the global optimal solution. The effectiveness of the proposed method is validated on a test system comprised of the IEEE 33-bus system and three IEEE 13 node test feeders. |
| format | Article |
| id | doaj-art-118121ff7c604195b7cebd671facaaf4 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-118121ff7c604195b7cebd671facaaf42025-01-19T06:23:51ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-03-01164110371Bi-level coordinated restoration for the distribution system and multi-microgridsHao Zhu0Xiaotian Sun1Haipeng Xie2Lingfeng Tang3Zhaohong Bie4State Key Laboratory of Electrical Insulation and Power Equipment, Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaCorresponding author.; State Key Laboratory of Electrical Insulation and Power Equipment, Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaState Key Laboratory of Electrical Insulation and Power Equipment, Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, ChinaMicrogrids (MGs) play an important role in enhancing the resilience of distribution systems (DSs). However, each MG has its own operation scheme and the ownership obstructs the coordination of restoration resources from different MGs. To address this problem, this paper proposes a bi-level coordinated restoration framework for the distribution system operators (DSOs) and the microgrid operators (MGOs). In the framework, MGOs report their surplus capacity to DSO once an extreme event occurs, and then DSO dispatches its own resources and orders MGOs’ supporting capacity. After receiving the order, MGOs dispatch distributed generators and energy storage systems to provide the surplus power. The proposed framework is capable of finding the optimal restoration scheme provided that the autonomy of MGs is retained. The stochastic programming is leveraged to model the uncertainty of renewable energy, and the coordinated restoration framework is formulated as a bi-level mixed integer linear programming (BMILP). The relaxation-based bi-level reformulation and decomposition (RBRD) algorithm is adopted to effectively achieve the global optimal solution. The effectiveness of the proposed method is validated on a test system comprised of the IEEE 33-bus system and three IEEE 13 node test feeders.http://www.sciencedirect.com/science/article/pii/S0142061524005945Distribution system resilienceMicrogrids (MGs)Coordinated restorationAutonomy of MGsBi-level mixed integer linear programming |
| spellingShingle | Hao Zhu Xiaotian Sun Haipeng Xie Lingfeng Tang Zhaohong Bie Bi-level coordinated restoration for the distribution system and multi-microgrids International Journal of Electrical Power & Energy Systems Distribution system resilience Microgrids (MGs) Coordinated restoration Autonomy of MGs Bi-level mixed integer linear programming |
| title | Bi-level coordinated restoration for the distribution system and multi-microgrids |
| title_full | Bi-level coordinated restoration for the distribution system and multi-microgrids |
| title_fullStr | Bi-level coordinated restoration for the distribution system and multi-microgrids |
| title_full_unstemmed | Bi-level coordinated restoration for the distribution system and multi-microgrids |
| title_short | Bi-level coordinated restoration for the distribution system and multi-microgrids |
| title_sort | bi level coordinated restoration for the distribution system and multi microgrids |
| topic | Distribution system resilience Microgrids (MGs) Coordinated restoration Autonomy of MGs Bi-level mixed integer linear programming |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524005945 |
| work_keys_str_mv | AT haozhu bilevelcoordinatedrestorationforthedistributionsystemandmultimicrogrids AT xiaotiansun bilevelcoordinatedrestorationforthedistributionsystemandmultimicrogrids AT haipengxie bilevelcoordinatedrestorationforthedistributionsystemandmultimicrogrids AT lingfengtang bilevelcoordinatedrestorationforthedistributionsystemandmultimicrogrids AT zhaohongbie bilevelcoordinatedrestorationforthedistributionsystemandmultimicrogrids |