Research on Reconfiguration of Distribution Network considering Three-Phase Unbalance

Wang, Xuejie; Ji, Yanchao; Wang, Jianze; Zhao, Yi; Ye, Peng; Liu, Qi; Yang, Shuo; Liu, Siqi

doi:10.1155/2022/9906100

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…These factors intensify the complexity of loss reduction in the distribution network [3]. Currently, primary loss-reduction measures on the distribution network side encompass Energies 2024, 17, 1115 2 of 19 network reconstruction [4], power flow optimization [5], three-phase imbalance control [6], and load peak shedding [7]. In low-voltage power distribution networks, the predominant methods typically employed are the latter two mentioned above.…”

Section: Introductionmentioning

confidence: 99%

“…Regarding the management of three-phase imbalance, the existing literature primarily addresses the constraints posed by three-phase loads in the operation of distribution networks. Literature [4] proposed a distribution network reconstruction method that considers the imbalance of three-phase load distribution to mitigate the impact of numerous distributed power sources and electric vehicles on three-phase imbalance. In a similar vein, Literature [8] investigates an optimal dispatch method under the coordination of Distributed Generation (DG) and Electric Vehicles (EV).…”

Section: Introductionmentioning

confidence: 99%

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Low-Voltage Distribution Network Loss-Reduction Method Based on Load-Timing Characteristics and Adjustment Capabilities

Huangfu,

Wang,

et al. 2024

Energies

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The primary contributors to elevated line losses in low-voltage distribution networks are three-phase load imbalances and variations in load peak–valley differentials. The conventional manual phase sequence adjustment fails to capitalize on the temporal characteristics of the load, and the proliferation of smart homes has opened up new scheduling possibilities for managing the load. Consequently, this paper introduces a loss-reduction method for low-voltage distribution networks that leverages load-timing characteristics and adjustment capabilities. This method combines dynamic and static methods to reduce energy consumption from different time scales. To commence, this paper introduced a hierarchical fuzzy C-means algorithm (H-FCM), taking into account the distance and similarity of load curves. Subsequently, a phase sequence adjustment method, grounded in load-timing characteristics, was developed. The typical user load curve, derived from the classification of user loads, serves as the foundation for constructing a long-term commutation model, therefore mitigating the impact of load fluctuations on artificial commutation. Following this, this paper addressed the interruptible and transferable characteristics of various smart homes. This paper proposed a multi-objective transferable load (TL) optimal timing task adjustment model and a peak-shaving control strategy specifically designed for maximum sustainable power reduction of temperature-controlled loads (TCL). These strategies aim to achieve real-time load adjustment, correct static commutation errors, and reduce peak-to-valley differences. Finally, a simulation verification model was established in MATLAB (R2022a). The results show that the proposed method mainly solves the problems of three-phase imbalance and large load peak–valley difference in low-voltage distribution networks and reduces the line loss of low-voltage distribution networks through manual commutation and load adjustment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-Voltage Distribution Network Loss-Reduction Method Based on Load-Timing Characteristics and Adjustment Capabilities

Huangfu,

Wang,

et al. 2024

Energies

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“…As one of the important means to improve the operation efficiency, reliability and quality of power supply, distribution network reconfiguration can change the network topology by changing the switching state of distribution line switch, so as to improve the operation reliability and voltage quality of power grid, reduce the loss of network and balance the power load [1][2][3] . In recent years, the randomness and uncertainty of load characteristics of distributed generators and large-scale electric vehicles, represented by wind power and photovoltaic power generation, have brought new challenges to distribution network reconfiguration.…”

Section: Introductionmentioning

confidence: 99%

Dynamic reconfiguration of active distribution network considering electric vehicle charging demand under real-time electricity price

li,

Bai

2023

5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023)

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In the future, with the large-scale integration of distributed generation (DG) and electric vehicle (EV), due to the dual uncertainty of time and space, it is bound to pose new challenges to the economic and safe operation of urban distribution network. As one of the important means of power grid optimization, distribution network reconfiguration can dynamically adjust the power grid structure according to the spatial and temporal changes of EV charging load. Therefore, in order to improve the economy and safety of urban distribution network operation, this paper proposes a dynamic reconfiguration model of active distribution network considering EV charging demand under the guidance of real-time electricity price. At the same time, the reconfiguration period is divided based on the peak-valley membership degree. The ratio of active network loss at each moment of the system and the operating loss cost after the introduction of time-of-use electricity price is used as the operation index, and the reconstruction period is reasonably divided by the change rate of membership degree. The demand response (DR) mechanism is introduced before the reconfiguration, and the active distribution network reconfiguration model with the minimum operating loss cost is established. The model is solved by the improved binary particle swarm optimization algorithm. Finally, a case study of a city's traffic network and an improved IEEE33 node coupling system is carried out to verify that the time-sharing reconstruction method in this paper can effectively deal with the influence of DG output, EV charging and other factors on the urban distribution network, and improve the economy and safety of the overall distribution network operation.

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“…At present, the method of automatic phase commutation often uses a one-multi-type commutation regulation system. In this system, a main controller monitors all intelligent commutation switches [12,13]. This method can indeed effectively balance the main circuit three-phase load of the low-voltage distribution network.…”

Section: Introductionmentioning

confidence: 99%

A Novel Refined Regulation Method with Modified Genetic Commutation Algorithm to Reduce Three-Phase Imbalanced Ratio in Low-Voltage Distribution Networks

Liu,

Wang

et al. 2023

Energies

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The three-phase imbalance in low-voltage distribution networks (LVDNs) seriously threatens the security and stability of the power system. At present, a standard solution is automatic phase commutation, but this method has limitations because it does not address the branch imbalance and premature convergence or instability of the commutation algorithm. Therefore, this paper proposes a novel refined regulation commutation system, combined with a modified optimized commutation algorithm, and designs a model and simulation for feasibility verification. The refined regulatory model incorporates branch control units into the traditional commutation system. This effectively disperses the main controller’s functions to each branch and collaborates with intelligent fusion terminals for precise adjustment. The commutation algorithm designed in this paper, combined with the above model, adopts strategies such as symbol encoding, cubic chaotic mapping, and adaptive adjustment based on traditional genetic algorithms. In addition, in order to verify the effectiveness of the proposed method, this paper establishes a mathematical model with the minimum three-phase imbalance and commutation frequency as objectives and establishes a simulation model. The results of the simulation demonstrate that this method can successfully lower the three-phase imbalance of the low-voltage distribution network. It leads to a decrease of the main circuit’s three-phase load imbalance rate from 27% to 6% and reduces each branch line’s three-phase imbalance ratio to below 10%. After applying the method proposed in this paper, the main and branches circuit three-phase imbalance are both lower than the limit ratio of the LVDNs, which can improve the quality and safety of electricity consumption. Additionally, the results also prove that the commutation algorithm under this method has faster convergence speed, better application effect, and better stability, which has promotion and application value.

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Research on Reconfiguration of Distribution Network considering Three-Phase Unbalance

Cited by 5 publications

References 20 publications

Low-Voltage Distribution Network Loss-Reduction Method Based on Load-Timing Characteristics and Adjustment Capabilities

Low-Voltage Distribution Network Loss-Reduction Method Based on Load-Timing Characteristics and Adjustment Capabilities

Dynamic reconfiguration of active distribution network considering electric vehicle charging demand under real-time electricity price

A Novel Refined Regulation Method with Modified Genetic Commutation Algorithm to Reduce Three-Phase Imbalanced Ratio in Low-Voltage Distribution Networks

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