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Restoration control decision of distribution network based on dynamic evaluation of restoration value
Author(s) -
Ke Jiang,
Changlin Yu,
Keyi Chen,
Guichuan Yuan,
Lintao Yang,
Lili Hao
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1920/1/012047
Subject(s) - computer science , economic shortage , reliability engineering , process (computing) , power (physics) , control (management) , partition (number theory) , operations research , engineering , mathematics , government (linguistics) , linguistics , philosophy , physics , quantum mechanics , combinatorics , artificial intelligence , operating system
The power outage scenario, recovery process, and load function in emergency situations will all affect the urgency of the load to restore power supply during distribution network restoration. Usually the importance level of the object to be restored is statically set according to its value of restoration, which restricts the refined management of limited restoration resources. This paper proposes a dynamic evaluation method of bus restoration value that integrates restoration benefits, costs and risks, which considers the influence of the cold load pick-up and the functional coupling relationship between the load on the recovery value of the load unit, the potential recovery value brought by the bus recovery to other surrounding objects to be recovered, and the system power supply shortage, recovery cost and uncertainty of recovery operation. Based on this, a multi-process optimization model for distribution network restoration and a partition parallel restoration decision-making method are established. Finally, simulation analysis verifies that the strategy proposed in this paper can effectively improve the utilization of recovery resources.

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