Current Unbalance Reduction in Low Voltage Distribution Networks Usingautomatic Phase Balancing Device

Tung, Tran Anh; Son, Tran Thanh

doi:10.15625/0866-708x/55/1/8330

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Offline [4], [27] Yes Yes No Yes Heuristic No Yes [5], [17], [28] Yes No No Yes Metaheuristic No Yes [6], [21], [24] No Yes No No Experimental No Yes [7], [8], [26] No Yes No Yes Heuristic No Yes [9], [10] Yes No No Yes Heuristic No Yes [12], [13] No Yes Yes No Metaheuristic No Yes [14], [29] No Yes Yes No Experimental Yes No [15], [16] No Yes No Yes Metaheuristic No Yes [18], [32] No No No Yes Heuristic No Yes [19], [20] Yes Regardless of the algorithm used and the locations where the PLB is done, each consumer should have a smart system integrated in the SMS, which to contain in its structure a smart meter and an automatic phase load balancing device (APBD) [27], Figure 2.…”

Section: On -Linementioning

confidence: 99%

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

Grigoraș¹,

Neagu²,

Gavrilaș³

et al. 2020

Preprint

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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 to lead 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 (on-line 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 time interval by 24 hours. 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 resulted in the smallest value (1.0017). The phase load balancing led to the following technical effects: decreasing the average current in the neutral conductor with 94% and for the energy losses with 61.75 %, and increasing the minimum value of the phase voltage at the farthest pillar with the 7.14 %, compared to the unbalanced case.

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Section: On -Linementioning

confidence: 99%

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

Grigoraș¹,

Neagu²,

Gavrilaș³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Another category of the published papers [26][27][28] regards the PLB problem at the active distribution networks (smart grids) level, using heuristic or metaheuristic methods. Moreover, an automatic phase load balancing device [29], a shunt passive compensator [30], or a controlled active filter [31] were proposed. Also, a controller was proposed in [31] to switch the connected 1-P loads from one phase to another based on an algorithm with a minimum count of loads adjustment.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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.

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Smart Metering Based Strategies for Improving Energy Efficiency in Microgrids

et al. 2019

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Current Unbalance Reduction in Low Voltage Distribution Networks Usingautomatic Phase Balancing Device

Cited by 5 publications

References 10 publications

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

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

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

Smart Metering Based Strategies for Improving Energy Efficiency in Microgrids

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