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author:

Bao, Guanghai (Bao, Guanghai.) [1] | Ke, Sikai (Ke, Sikai.) [2]

Indexed by:

EI

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. © 2019 by the authors.

Keyword:

Controllers Genetic algorithms Housing Remote control Signal processing Voltage distribution measurement

Community:

  • [ 1 ] [Bao, Guanghai]College of Electrical Engineering, Fuzhou University, Fuzhou; 350001, China
  • [ 2 ] [Bao, Guanghai]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou; 350108, China
  • [ 3 ] [Ke, Sikai]College of Electrical Engineering, Fuzhou University, Fuzhou; 350001, China
  • [ 4 ] [Ke, Sikai]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou; 350108, China

Reprint 's Address:

  • [bao, guanghai]college of electrical engineering, fuzhou university, fuzhou; 350001, china;;[bao, guanghai]fujian key laboratory of new energy generation and power conversion, fuzhou; 350108, china

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Source :

Energies

Year: 2019

Issue: 15

Volume: 12

2 . 7 0 2

JCR@2019

3 . 0 0 0

JCR@2023

ESI HC Threshold:150

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 29

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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