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Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm

Author

Listed:
  • Gheorghe Grigoraș

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Bogdan-Constantin Neagu

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Mihai Gavrilaș

    (Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania)

  • Ion Triștiu

    (Department of Power System, “Politehnica” University of Bucharest, 060042 Bucharest, Romania)

  • Constantin Bulac

    (Department of Power System, “Politehnica” University of Bucharest, 060042 Bucharest, Romania)

Abstract

In the electric distribution systems, the “Smart Grid” concept is implemented to encourage energy savings and integration of the innovative technologies, helping the distribution network operators (DNOs) in choosing the investment plans which lead to the optimal operation of the networks and increasing the energy efficiency. In this context, a new phase load balancing algorithm was proposed to be implemented in the low voltage distribution networks with hybrid structures of the consumption points (switchable and non-switchable consumers). It can work in both operation modes (real-time and off-line), uploading information from different databases of the DNO which contain: The consumers’ characteristics, the real loads of the consumers integrated into the smart metering system (SMS), and the typical load profiles for the consumers non-integrated in the SMS. The algorithm was tested in a real network, having a hybrid structure of the consumption points, on a by 24-h interval. The obtained results were analyzed and compared with other algorithms from the heuristic (minimum count of loads adjustment algorithm) and the metaheuristic (particle swarm optimization and genetic algorithms) categories. The best performances were provided by the proposed algorithm, such that the unbalance coefficient had the smallest value (1.0017). The phase load balancing led to the following technical effects: decrease of the average current in the neutral conductor and the energy losses with 94%, respectively 61.75%, and increase of the minimum value of the phase voltage at the farthest pillar with 7.14%, compared to the unbalanced case.

Suggested Citation

  • Gheorghe Grigoraș & Bogdan-Constantin Neagu & Mihai Gavrilaș & Ion Triștiu & Constantin Bulac, 2020. "Optimal Phase Load Balancing in Low Voltage Distribution Networks Using a Smart Meter Data-Based Algorithm," Mathematics, MDPI, vol. 8(4), pages 1-29, April.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:4:p:549-:d:342972
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    References listed on IDEAS

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    1. Guanghai Bao & Sikai Ke, 2019. "Load Transfer Device for Solving a Three-Phase Unbalance Problem Under a Low-Voltage Distribution Network," Energies, MDPI, vol. 12(15), pages 1-18, July.
    2. Jose R Sicchar & Carlos T. Da Costa & Jose R. Silva & Raimundo C. Oliveira & Werbeston D. Oliveira, 2018. "A Load-Balance System Design of Microgrid Cluster Based on Hierarchical Petri Nets," Energies, MDPI, vol. 11(12), pages 1-30, November.
    3. Gheorghe Grigoras & Bogdan-Constantin Neagu, 2019. "Smart Meter Data-Based Three-Stage Algorithm to Calculate Power and Energy Losses in Low Voltage Distribution Networks," Energies, MDPI, vol. 12(15), pages 1-27, August.
    4. Jorge Arias & Maria Calle & Daniel Turizo & Javier Guerrero & John E. Candelo-Becerra, 2019. "Historical Load Balance in Distribution Systems Using the Branch and Bound Algorithm," Energies, MDPI, vol. 12(7), pages 1-14, March.
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