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Maximization of Distribution Network Hosting Capacity through Optimal Grid Reconfiguration and Distributed Generation Capacity Allocation/Control

Author

Listed:
  • Rade Čađenović

    (Department of Power Engineering, University of Split-FESB, 21000 Split, Croatia)

  • Damir Jakus

    (Department of Power Engineering, University of Split-FESB, 21000 Split, Croatia)

Abstract

High penetration of small-scale distributed energy sources into the distribution network increase negative impacts related to power quality causing adverse conditions. This paper presents a mathematical model that maximizes distribution network hosting capacity through optimal distributed generation capacity allocation and control and grid reconfiguration. In addition to this, the model includes on-load tap changer control for stabilization of grid voltage conditions primarily in grid operating conditions related to voltage rise problems, which can limit grid hosting capacity. Moreover, the objective function allows the possibility of energy transfer between distribution and transmission grids. The proposed model considers alternative grid connection points for distributed generation and determines optimal connection points as well as install capacity while considering network operating limits. The model is cast as a multiperiod second-order cone linear program and involves aspects of active power management. The model is tested on a modified IEEE 33 bus test network.

Suggested Citation

  • Rade Čađenović & Damir Jakus, 2020. "Maximization of Distribution Network Hosting Capacity through Optimal Grid Reconfiguration and Distributed Generation Capacity Allocation/Control," Energies, MDPI, vol. 13(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:20:p:5315-:d:427032
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    References listed on IDEAS

    as
    1. Baringo, L. & Conejo, A.J., 2011. "Wind power investment within a market environment," Applied Energy, Elsevier, vol. 88(9), pages 3239-3247.
    2. Magdalena Bartecka & Grazia Barchi & Józef Paska, 2020. "Time-Series PV Hosting Capacity Assessment with Storage Deployment," Energies, MDPI, vol. 13(10), pages 1-20, May.
    3. Tiago Elias Castelo de Oliveira & Math Bollen & Paulo Fernando Ribeiro & Pedro M. S. de Carvalho & Antônio C. Zambroni & Benedito D. Bonatto, 2019. "The Concept of Dynamic Hosting Capacity for Distributed Energy Resources: Analytics and Practical Considerations," Energies, MDPI, vol. 12(13), pages 1-18, July.
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    Cited by:

    1. Md Tariqul Islam & M. J. Hossain, 2023. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
    2. Javier Contreras & Gregorio Muñoz-Delgado, 2021. "Distributed Power Generation Scheduling, Modeling, and Expansion Planning," Energies, MDPI, vol. 14(22), pages 1-2, November.
    3. Yih-Der Lee & Wei-Chen Lin & Jheng-Lun Jiang & Jia-Hao Cai & Wei-Tzer Huang & Kai-Chao Yao, 2021. "Optimal Individual Phase Voltage Regulation Strategies in Active Distribution Networks with High PV Penetration Using the Sparrow Search Algorithm," Energies, MDPI, vol. 14(24), pages 1-22, December.

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