Customers swapping between phases for loss reduction considering daily load profile model in smart grid

Kalesar, Belal Mohamadi

doi:10.1049/cp.2016.0639

Cited by 12 publications

(11 citation statements)

References 12 publications

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“…Farhad Shahnia et al [16] Genetic algorithm with voltage imbalance and penalty factor as objective function…”

Section: Type Author(s) Methods Effectiveness Analysismentioning

confidence: 99%

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

Bao

2019

Energies

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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.Energies 2019, 12, 2842 2 of 18 often unbalanced. Therefore, in order to protect equipment, ensure the quality of the power supply and reduce losses, an economic and effective solution is needed to solve the three-phase unbalance problem.In China, the LV feeders are usually three-phase four-wire systems, and have single-phase and three-phase power supply modes. In the LV distribution system, the main methods to reduce three-phase unbalance rate are power compensation and load transfer. However, although reactive power compensation can reduce the three-phase unbalance by increasing the power factor, when the three-phase unbalance is very serious, the reactive power compensation will not completely solve the three-phase unbalance problem [7], and reactive power compensation device need high cost [8]. The most direct and effective techniques to deal with the unbalanced distribution of load is to dynamically change the connection phase of single-phase users according to the unbalanced rate, so that the unbalanced rate of three-phase is within the prescribed range. Traditionally, the three-phase unbalance problem has been solved by manually to adjust the users' phase connection, but this method will cause the temporary power lose. And at the same time, due to the uncontrollable customer's power consumption, three-phase unbalance may occur in a short time. Therefore, manual adjustments require high labor costs and make the poor user experience.Power companies strive to innovate and add new elements of automation and intelligence to traditional distribution networks.[9] pointed out that the electric power distribution network is very complex, and not suitable for the...

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“…Farhad Shahnia et al [16] Genetic algorithm with voltage imbalance and penalty factor as objective function…”

Section: Type Author(s) Methods Effectiveness Analysismentioning

confidence: 99%

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

Bao

2019

Energies

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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%

“…Other approaches consider different automatic three-phase load balancing devices [6][7][8]. The solutions for the PLB model were obtained using various techniques and technical measures, such as hierarchical Petri nets [9], low voltage (LV) feeder reconfiguration [10][11], or switching the consumers on the three phases [12][13][14]. In [15][16][17] the studied problem is solved with particular metaheuristic algorithms.…”

Section: Introductionmentioning

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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“…Other approaches use different automatic three-phase load balancing devices [6][7][8]. The solutions for the PLB model were obtained using various techniques and technical measures: Hierarchical Petri nets [9], LV the feeder reconfiguration [10,11], or switching the consumers on the three phases [12][13][14]. The PLB problem was solved with particular metaheuristic algorithms in [15][16][17].…”

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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Customers swapping between phases for loss reduction considering daily load profile model in smart grid

Cited by 12 publications

References 12 publications

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

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

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

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