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Zoning Evaluation for Voltage Optimization in Distribution Networks with Distributed Energy Resources

Author

Listed:
  • Anna Rita Di Fazio

    (Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy)

  • Mario Russo

    (Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy)

  • Michele De Santis

    (Engineering Department, University Niccolò Cusano, 00166 Roma, Italy)

Abstract

This paper deals with the problem of the voltage profile optimization in a distribution system including distributed energy resources. Adopting a centralized approach, the voltage optimization is a non-linear programming problem with large number of variables requiring a continuous remote monitoring and data transmission from/to loads and distributed energy resources. In this study, a recently-proposed Jacobian-based linear method is used to model the steady-state operation of the distribution network and to divide the network into voltage control zones so as to reformulate the centralized optimization as a quadratic programming of reduced dimension. New clustering methods for the voltage control zone definition are proposed to consider the dependence of the nodal voltages on both active and reactive powers. Zoning methodologies are firstly tested on a 24-nodes low voltage network and, then, applied to the voltage optimization problem with the aim of analyzing the impact of the R/X ratios on the zone evaluation and on the voltage optimization solution.

Suggested Citation

  • Anna Rita Di Fazio & Mario Russo & Michele De Santis, 2019. "Zoning Evaluation for Voltage Optimization in Distribution Networks with Distributed Energy Resources," Energies, MDPI, vol. 12(3), pages 1-28, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:390-:d:201023
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    References listed on IDEAS

    as
    1. Tung-Lam Nguyen & Efren Guillo-Sansano & Mazheruddin H. Syed & Van-Hoa Nguyen & Steven M. Blair & Luis Reguera & Quoc-Tuan Tran & Raphael Caire & Graeme M. Burt & Catalin Gavriluta & Ngoc-An Luu, 2018. "Multi-Agent System with Plug and Play Feature for Distributed Secondary Control in Microgrid—Controller and Power Hardware-in-the-Loop Implementation," Energies, MDPI, vol. 11(12), pages 1-21, November.
    2. Anna Rita Di Fazio & Mario Russo & Sara Valeri & Michele De Santis, 2016. "Sensitivity-Based Model of Low Voltage Distribution Systems with Distributed Energy Resources," Energies, MDPI, vol. 9(10), pages 1-16, October.
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    Cited by:

    1. Giuditta Pisano & Nayeem Chowdhury & Massimiliano Coppo & Nicola Natale & Giacomo Petretto & Gian Giuseppe Soma & Roberto Turri & Fabrizio Pilo, 2019. "Synthetic Models of Distribution Networks Based on Open Data and Georeferenced Information," Energies, MDPI, vol. 12(23), pages 1-24, November.
    2. Chuanliang Xiao & Lei Sun & Ming Ding, 2020. "Multiple Spatiotemporal Characteristics-Based Zonal Voltage Control for High Penetrated PVs in Active Distribution Networks," Energies, MDPI, vol. 13(1), pages 1-21, January.
    3. Giuseppe Fusco & Mario Russo & Michele De Santis, 2021. "Decentralized Voltage Control in Active Distribution Systems: Features and Open Issues," Energies, MDPI, vol. 14(9), pages 1-31, April.
    4. Abdullah Albaker & Mansoor Alturki & Rabeh Abbassi & Khalid Alqunun, 2022. "Zonal-Based Optimal Microgrids Identification," Energies, MDPI, vol. 15(7), pages 1-15, March.
    5. Murray, William & Adonis, Marco & Raji, Atanda, 2021. "Voltage control in future electrical distribution networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).

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