Distribution network reconfiguration based on vector shift operation

Ji, Xingquan; Liu, Qi; Yang, Yu; Fan, Shuzhen; Wu, Na

doi:10.1049/iet-gtd.2018.0099

Cited by 26 publications

(21 citation statements)

References 27 publications

(40 reference statements)

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“…The weakly meshed 123‐bus distribution system and the modified Taiwan distribution system with DC networks are used to further test effectiveness of the proposed sensitivity models, which are shown in Figures and . The rated DG outputs in Taiwan distribution system and 123‐bus distribution system are set as 1000 and 1500 kW.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Power sensitivity models with wide adaptability in active distribution networks considering loops and DC networks

Liu

Wang

et al. 2019

Int Trans Electr Energ Syst

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Summary Because of the high penetration of distributed generation, energy storage systems, and flexible loads, nodal power injections in active distribution networks (ADNs) would vary frequently and significantly. Thus, it becomes crucial to accurately and quickly assess the influence of power injection variations on key operation status of ADNs, such as nodal voltages, line losses, and branch power flows. Meanwhile, modern ADNs may include nonradial and DC network segments, which make power flow analysis more complicated. In this paper, power flow models of ADNs while considering nonradial topologies and hybrid AC/DC networks are analyzed to derive a suite of power sensitivity models with wide adaptability, including a quadratic sensitivity model of nodal power injections to line losses, a linear sensitivity model of nodal power injections to nodal voltages, and a quadratic and a simplified linear sensitivity models of nodal power injections to branch powers. Numerical results evaluate the accuracy and efficiency of the proposed sensitivity models.

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Section: Simulation Resultsmentioning

confidence: 99%

“…Similarly, the reactive branch power flow sensitivity model has similar expression as Equations (24) and (29) except that the sensitivity factors are expressed by reactance rather than resistance. Figure 2 shows the diagram of an illustrative hybrid AC/DC distribution system with voltage source converters (VSCs).…”

Section: Branch Power Sensitivity Modelmentioning

confidence: 99%

Power sensitivity models with wide adaptability in active distribution networks considering loops and DC networks

Liu

Wang

et al. 2019

Int Trans Electr Energ Syst

Self Cite

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“…1. Then, according to (8), the unavailability of each load point can be calculated. Finally, according to (9), the average system unavailability can be calculated.…”

Section: Probabilistic Reliability Evaluationmentioning

confidence: 99%

“…In [8], the concept of power moment was proposed. The smaller the power moment, the more likely it is to reduce the network loss.…”

Section: Adaptive Matrixmentioning

confidence: 99%

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Data‐driven approach for real‐time distribution network reconfiguration

Yin

Liu

et al. 2020

IET Generation Trans & Dist

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Finding a global optimal solution to the distribution network reconfiguration (DNR) problem in a short time is a challenging task. This study proposes a real-time online data-driven DNR (3DNR) method. Power loss minimisation, lowest bus voltage maximisation and reliability maximisation are taken as objectives. First, in this study, a methodology combining heuristic algorithm and metaheuristic algorithm to solve DNR is proposed. Then a set of data that satisfies the data drive model requirements is obtained. Next, the improved convolution neural network is used to train the data set of DNR. Unlike the stateof-art methods, the proposed 3DNR can realise the real-time online reconfiguration without power flow calculation. The feasibility and effectiveness of the proposed method are demonstrated on IEEE-34, IEEE-123, and a practical distribution system in Taiwan.

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