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Load Transfer Device for Solving a Three-Phase Unbalance Problem Under a Low-Voltage Distribution Network

Author

Listed:
  • Guanghai Bao

    (College of Electrical Engineering, Fuzhou University, Fuzhou 350001, China
    Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou 350108, China)

  • Sikai Ke

    (College of Electrical Engineering, Fuzhou University, Fuzhou 350001, China
    Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou 350108, China)

Abstract

In the low-voltage (LV) distribution network, a three-phase unbalance problem often exists. It does not only increase line loss but also threaten the safety of the distribution network. Therefore, the author designs a residential load transfer device for a LV distribution network that can deal with a three-phase unbalance problem by changing the connecting phase of the load. It consists of three parts: user controller for phase swapping, central controller for signal processing and monitoring platform for strategy calculation. This design was based on message queuing telemetry transport (MQTT) communication protocol, and Long Range and 4th Generation mobile telecommunications (LoRa + 4G) communication mode is used to realize the wireless connection between equipment and monitoring platform, and a control scheme is proposed. The improved multi-population genetic algorithm (IMPGA) with multi-objective is used to find the optimal swapping strategy, which is implemented on the monitoring platform. Then the phase swapping is realized by remote control, and the function of reducing three-phase unbalance is realized. The practical experimental result shows that the method can help to reduce the three-phase unbalance rate by changing the connection phase of the load, and the simulation results verify the effectiveness of the algorithm in the phase-swapping strategy.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:15:p:2842-:d:251024
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    References listed on IDEAS

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    1. Xiaosheng Wang & Ke Dai & Xinwen Chen & Xin Zhang & Qi Wu & Ziwei Dai, 2019. "Reactive Power Compensation and Imbalance Suppression by Star-Connected Buck-Type D-CAP," Energies, MDPI, vol. 12(10), pages 1-16, May.
    2. Bharath Varsh Rao & Friederich Kupzog & Martin Kozek, 2018. "Phase Balancing Home Energy Management System Using Model Predictive Control," Energies, MDPI, vol. 11(12), pages 1-19, November.
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    Cited by:

    1. Nicholas D. de Andrade & Ruben B. Godoy & Edson A. Batista & Moacyr A. G. de Brito & Rafael L. R. Soares, 2022. "Embedded FPGA Controllers for Current Compensation Based on Modern Power Theories," Energies, MDPI, vol. 15(17), pages 1-17, August.
    2. 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.
    3. Gheorghe Grigoraș & Livia Noroc & Ecaterina Chelaru & Florina Scarlatache & Bogdan-Constantin Neagu & Ovidiu Ivanov & Mihai Gavrilaș, 2021. "Coordinated Control of Single-Phase End-Users for Phase Load Balancing in Active Electric Distribution Networks," Mathematics, MDPI, vol. 9(21), pages 1-29, October.
    4. Gheorghe Grigoraș & Bogdan-Constantin Neagu & Florina Scarlatache & Livia Noroc & Ecaterina Chelaru, 2021. "Bi-Level Phase Load Balancing Methodology with Clustering-Based Consumers’ Selection Criterion for Switching Device Placement in Low Voltage Distribution Networks," Mathematics, MDPI, vol. 9(5), pages 1-36, March.

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