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Multi-stage supply restoration of active distribution networks with SOP integration
Tianjin University, Tianjin, 300072, China.
Tianjin University, Tianjin, 300072, China.
Tianjin University, Tianjin, 300072, China.
Tianjin University, Tianjin, 300072, China.
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2022 (English)In: Sustainable Energy, Grids and Networks, E-ISSN 2352-4677, Vol. 29, article id 100562Article in journal (Refereed) Published
Abstract [en]

Supply restoration from outages is essential for improving the reliability of active distribution networks (ADNs) after fault isolation. Soft open point (SOP) can adjust the power flow among feeders and provide voltage support for power outage areas. Considering the sequential coordination of switching operation and SOP control mode selection, a multi-stage supply restoration method with SOPs is proposed for ADNs. First, the sequential energization is formulated, in which the impact of SOP control mode on restoration sequence is analyzed. By providing voltage support, the coordination of SOPs will rapidly energize the outage area and improve the voltage profile. Then, a multi-stage restoration model with SOPs is proposed, in which reconfiguration of switches and control mode selection of SOPs are coordinated in sequence to maximize the load recovery level of ADNs. Through the switching action-time mapping, secure operation is ensured during the entire supply restoration process. Finally, the effectiveness of the proposed method is validated on a modified IEEE 33-node distribution system and practical distribution networks with four-terminal SOP. Results show that the proposed method can fully exploit the potential benefits of SOPs and effectively enhance the load recovery level of ADNs.

Place, publisher, year, edition, pages
Elsevier Ltd , 2022. Vol. 29, article id 100562
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-56731DOI: 10.1016/j.segan.2021.100562ISI: 000734120700002Scopus ID: 2-s2.0-85120179666OAI: oai:DiVA.org:mdh-56731DiVA, id: diva2:1619936
Available from: 2021-12-14 Created: 2021-12-14 Last updated: 2022-07-11Bibliographically approved

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Yan, Jinyue

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