Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement

Wang, Xiaoqin; Sheng, Xudan; Qiu, Weixing; He, Wanli; Xu, Jing; Xin, Yang; Jv, Jiabin

doi:10.1109/access.2021.3051230

Cited by 18 publications

(9 citation statements)

References 18 publications

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“…The literature [46] established an active distribution network reconfiguration model based on the actual distribution network model. The model considered the randomness of distributed generation and the impact of load power, as well as the impact of power grid structure in the power supply area on load standby power.…”

Section: Comparison With Existed Methodsmentioning

confidence: 99%

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

Yang¹,

Han

Wang

et al. 2023

Electronics

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With the rapid development of renewable energy, microgrids are becoming more and more essential in distribution networks. However, uncertainties brought by new energy sources have posed great challenges to the energy safety and stability of distribution networks, especially in the process of fault restoration. To address these issues, this paper investigates an emergency power supply recovery strategy for distribution networks by considering the support capability of microgrids and the high-dimensional dynamic correlations of uncertainty. Firstly, the structure of distribution networks including microgrids is analyzed. Then, the high-dimensional dynamic vine copula model is proposed to model the joint output uncertainty process. Next, island partition and operation models are established, including the objective function and constraint conditions, and the model solving methods are also presented. Finally, an example analysis is conducted to verify the effectiveness of the proposed strategy. The results show that the proposed strategy is able to deal with the uncertainties brought by renewable energy sources in distribution networks with microgrid support, improving energy safety and stability. This research provides valuable insights for the development of emergency power supply strategies in distribution networks.

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Section: Comparison With Existed Methodsmentioning

confidence: 99%

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

Yang¹,

Han

Wang

et al. 2023

Electronics

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“…In previous site selection studies, only network loss and DG cost were considered, while distributed generation planning was not considered [7]. Therefore, this paper establishes a multi-objective model of distribution network positioning and capacity determination based on DG and determines the target weight [8] of each subfunction. In this paper, on the premise of minimizing the grid loss, voltage deviation and comprehensive cost in the distribution network [9] gives different weights to the three IOP Publishing doi:10.1088/1742-6596/2565/1/012030 2 objectives and sets the objective function of power supply position and capacity, as shown in Formula (1).…”

Section: Calculation Of Multi-objective Location Parameters Of Small ...mentioning

confidence: 99%

Multi-Objective Location Method for Small Capacity Distributed Generation under Timing Characteristics

Tang

et al. 2023

J. Phys.: Conf. Ser.

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The conventional multi-objective location method of distributed generation mainly uses the static stability index to determine the load of distributed generation, which is vulnerable to the impact of load timing characteristics, resulting in a high active power loss of different nodes. Therefore, it is necessary to design the multi-objective location method of small-capacity distributed power sources based on the timing characteristics. That is, the multi-objective location algorithm of small capacity distributed generation is designed based on the multi-objective function, and the multi-objective location model of small capacity distributed generation is constructed according to the timing characteristics to achieve the multi-objective location of small capacity distributed generation. The experimental results show that the designed multi-objective location method has low active power loss, which proves that the designed location method has good location effect, energy saving and certain application value, and has made a certain contribution to saving the comprehensive operation cost of distributed power generation.

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“…In (6), 𝑆 𝐷𝐺 𝑖 is unique to the IIDG branch and other branches are padded with zeros for this feature. 𝐹 loc indicates the percentage of the fault location from the head of the line, i.e.…”

Section: Adn's Graph Representationmentioning

confidence: 99%

“…The ADN-specific graph node V ADN can be obtained using (6). Since the electrical characteristics of the ADN branches are chosen for the graph node characteristics, the edge set E is chosen for the connection relationship of the branches accordingly, which can construct the adjacency matrix A ADN .…”

Section: Adn's Graph Representationmentioning

confidence: 99%

See 1 more Smart Citation

GCN-Based Short-Circuit Current Calculation Method for Active Distribution Networks

Ye,

Wang,

Zhang

2023

IEEE Access

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The increasing integration of Inverter Interfaced Distributed Generators (IIDGs) into distribution networks has led to a more active nature of the grid. However, the accuracy-speed trade-off caused by iterative algorithms and simplified models in the short-circuit current calculation method for active distribution networks (ADNs) is becoming more prominent. To address this issue, we propose a novel approach that utilizes Graph Convolutional Neural Networks (GCNs) for short-circuit current calculation in ADNs. Our study explores the characteristics of short-circuit current in different network structures and evaluates the feasibility of representing electrical quantities using a graph data format. The proposed method employs the GCN model to calculate multi-output ADN short-circuit current and investigates the block construction of the GCN model. Algorithm analysis demonstrates that our method effectively calculates network-wide short-circuit current under various network structures, IIDG penetration rates, and fault conditions, meeting both accuracy and computational speed requirements. The proposed method offers several advantages, including superior precision, rapid computation, minimal hardware resource utilization, and robust resistance to interference.

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Fault Reconfiguration Strategies of Active Distribution Network With Uncertain Factors for Maximum Supply Capacity Enhancement

Cited by 18 publications

References 18 publications

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

Emergency Power Supply Restoration Strategy for Distribution Network Considering Support of Microgrids with High-Dimensional Dynamic Correlations

Multi-Objective Location Method for Small Capacity Distributed Generation under Timing Characteristics

GCN-Based Short-Circuit Current Calculation Method for Active Distribution Networks

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