Electricity distribution grids resilience enhancement by network reconfiguration. (28th July 2021)
- Record Type:
- Journal Article
- Title:
- Electricity distribution grids resilience enhancement by network reconfiguration. (28th July 2021)
- Main Title:
- Electricity distribution grids resilience enhancement by network reconfiguration
- Authors:
- Sabouhi, Hamed
Doroudi, Aref
Fotuhi‐Firuzabad, Mahmud
Bashiri, Mahdi - Abstract:
- Summary: Electric power systems try to maximize resilience by various enhancement strategies as preventive and corrective actions against extreme weather events. This paper presents an operational network reconfiguration strategy during a high wind event to strengthen the resiliency of distribution networks. In the proposed resilience enhancement strategy, a bi‐level optimization problem is formulated with two conflicting objectives (i) maximizing grid resilience and (ii) realize the primary objective by a minimum number of out‐of‐service lines (OSLs) switching operations. Furthermore, the algorithm considers the priority of loads, which is an important characteristic of modern distribution grids. The optimization problem is solved by the bi‐level genetic algorithm (BiGA). The IEEE 33‐bus network is utilized to demonstrate the application of the developed algorithm. The simulation results show a significant improvement in the resiliency of the tested network and reveal that switching operations can be used effectively to increase the resiliency of distribution networks against natural disasters. Furthermore, sensitivity analysis is performed to show the effectiveness of the proposed approach for finding the global optimal point. The proposed network reconfiguration strategy helps to prepare for severe weather conditions. Abstract : This paper presents a novel operational network reconfiguration strategy by topology switching during a high wind event to strengthen theSummary: Electric power systems try to maximize resilience by various enhancement strategies as preventive and corrective actions against extreme weather events. This paper presents an operational network reconfiguration strategy during a high wind event to strengthen the resiliency of distribution networks. In the proposed resilience enhancement strategy, a bi‐level optimization problem is formulated with two conflicting objectives (i) maximizing grid resilience and (ii) realize the primary objective by a minimum number of out‐of‐service lines (OSLs) switching operations. Furthermore, the algorithm considers the priority of loads, which is an important characteristic of modern distribution grids. The optimization problem is solved by the bi‐level genetic algorithm (BiGA). The IEEE 33‐bus network is utilized to demonstrate the application of the developed algorithm. The simulation results show a significant improvement in the resiliency of the tested network and reveal that switching operations can be used effectively to increase the resiliency of distribution networks against natural disasters. Furthermore, sensitivity analysis is performed to show the effectiveness of the proposed approach for finding the global optimal point. The proposed network reconfiguration strategy helps to prepare for severe weather conditions. Abstract : This paper presents a novel operational network reconfiguration strategy by topology switching during a high wind event to strengthen the resiliency of distribution networks. In the proposed resilience enhancement strategy, a bi‐level optimization problem is formulated with two conflict objectives (i) maximizing grid resilience and (ii) realize the leader objective within the minimum number of out‐of‐service lines switching operations. … (more)
- Is Part Of:
- International transactions on electrical energy systems. Volume 31:Number 11(2021)
- Journal:
- International transactions on electrical energy systems
- Issue:
- Volume 31:Number 11(2021)
- Issue Display:
- Volume 31, Issue 11 (2021)
- Year:
- 2021
- Volume:
- 31
- Issue:
- 11
- Issue Sort Value:
- 2021-0031-0011-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-07-28
- Subjects:
- axiomatic design -- bi‐level genetic algorithm -- grid resilience -- load priority -- reconfiguration strategy -- switching operation
Electric power -- Periodicals
Electric power systems -- Periodicals
Electrical engineering -- Periodicals
621.3 - Journal URLs:
- http://www3.interscience.wiley.com/cgi-bin/jtoc/106562716/all ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2050-7038 ↗
https://www.hindawi.com/journals/itees/ ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/2050-7038.13047 ↗
- Languages:
- English
- ISSNs:
- 2050-7038
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20450.xml