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    Active Distribution Networks Planning Considering Multi-DG Configurations and Contingency Analysis

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    Publication date
    2021-07-19
    Author
    Amjad, Bilal
    Al-Ja'afreh, Mohammad A.A.
    Mokryani, Geev
    Keyword
    Active distibution networks
    Active network management
    ANM
    Distributed generators
    DGs
    Contingency analysis
    Rights
    (c) 2021 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/)
    Peer-Reviewed
    Yes
    Open Access status
    Gold
    
    Metadata
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    Abstract
    This paper proposes a novel method for planning active distribution networks (ADNs) with the integration of an active network management (ANM) scheme using coordinated voltage control (CVC) through on-load tap changer (OLTC) transformers. The method was formulated as a security-constrained optimal power flow (SCOPF) problem to minimize total operational costs, which maximizes the utilization of renewable distributed generators (DGs) over a planning horizon. The ANM scheme was applied using OLTC to ensure safe operation and reduce voltage violations in the network. To analyse the impact of ANM, the planning problem was examined both with and without the ANM scheme. Moreover, SCOPF, considering the N-1 line contingency analysis and multi-DG configuration, was implemented to analyse the feasibility of the proposed method and the advantages of ANM under contingency situations. The method was validated on a weakly-meshed 16-bus UK generic distribution system (UKGDS). The results showed that ANM can lower operational costs and maintain network voltage for operation in feasible conditions even in the case of a contingency. Moreover, the ANM scheme mitigated the voltage rise effect caused by DGs and maximized their utilization.
    URI
    http://hdl.handle.net/10454/18630
    Version
    Published version
    Citation
    Amjad B, Al-Ja'afreh MAA and Mokryani G (2021) Active Distribution Networks Planning Considering Multi-DG Configurations and Contingency Analysis. Energies. 14(14): 4361.
    Link to publisher’s version
    https://doi.org/10.3390/en14144361
    Type
    Article
    Collections
    Engineering and Informatics Publications

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