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

Author

Listed:
  • Bilal Amjad

    (Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK)

  • Mohammad Ahmad A. Al-Ja’afreh

    (Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK)

  • Geev Mokryani

    (Faculty of Engineering and Informatics, University of Bradford, Bradford BD7 1DP, UK)

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.

Suggested Citation

  • Bilal Amjad & Mohammad Ahmad A. Al-Ja’afreh & Geev Mokryani, 2021. "Active Distribution Networks Planning Considering Multi-DG Configurations and Contingency Analysis," Energies, MDPI, vol. 14(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:14:p:4361-:d:597320
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    References listed on IDEAS

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    1. Lai, Chun Sing & McCulloch, Malcolm D., 2017. "Levelized cost of electricity for solar photovoltaic and electrical energy storage," Applied Energy, Elsevier, vol. 190(C), pages 191-203.
    2. Mokryani, Geev & Hu, Yim Fun & Pillai, Prashant & Rajamani, Haile-Selassie, 2017. "Active distribution networks planning with high penetration of wind power," Renewable Energy, Elsevier, vol. 104(C), pages 40-49.
    3. SMEERS, Yves, 1977. "Generalized reduced gradient method as an extension of feasible direction methods," LIDAM Reprints CORE 324, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Zubo, Rana.H.A. & Mokryani, Geev & Rajamani, Haile-Selassie & Aghaei, Jamshid & Niknam, Taher & Pillai, Prashant, 2017. "Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1177-1198.
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    Cited by:

    1. Liang Bu & Song Han & Jinling Feng, 2021. "Short-Circuit Fault Analysis of the Sen Transformer Using Phase Coordinate Model," Energies, MDPI, vol. 14(18), pages 1-19, September.

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