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Analysis of Steady-State Operation of Active Distribution Network under Uncertain Conditions
  • Zhu ruijin
Zhu ruijin
Tibet Agriculture and Husbandry College

Corresponding Author:[email protected]

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Abstract

Recently, distributed generators (DGs) have been widely integrated into distribution network, so that the distribution network is gradually transforming into an active distribution network (ADN). Due to the influence of meteorological conditions, the output of DGs has high uncertainty. At the same time, considering the increasing variety of loads in ADNs, the uncertainty of load demand of user side is also increasing. In order to fully consider the uncertainty of measurement and quantitatively evaluate the operational status, this paper proposes a steady-state analysis method for ADNs under uncertain conditions. Firstly, this paper proposes a steady-state analysis method including power flow analysis model and evaluation indicators for the operation status from the perspectives of node and network. Secondly, the uncertainty factors are elaborated from three aspects: sources, impact on evaluation index and impact on scheduling. The evaluation indicators considering uncertain conditions, the impact on system security and scheduling of network are further discussed. Finally, through the simulation analysis of the modified IEEE 33-node test system, The effectiveness of the proposed method are verified.
20 Apr 2024Submitted to IET Generation, Transmission & Distribution
22 Apr 2024Submission Checks Completed
22 Apr 2024Assigned to Editor
14 Jun 2024Reviewer(s) Assigned
17 Jul 2024Review(s) Completed, Editorial Evaluation Pending
28 Jul 2024Editorial Decision: Revise Major
20 Aug 20241st Revision Received
23 Aug 2024Assigned to Editor
23 Aug 2024Submission Checks Completed
23 Aug 2024Review(s) Completed, Editorial Evaluation Pending
23 Aug 2024Reviewer(s) Assigned
29 Sep 2024Editorial Decision: Revise Minor
29 Sep 20242nd Revision Received
30 Sep 2024Submission Checks Completed
30 Sep 2024Assigned to Editor
30 Sep 2024Review(s) Completed, Editorial Evaluation Pending
30 Sep 2024Reviewer(s) Assigned
28 Oct 2024Editorial Decision: Accept