Asymptotic Stability of Boolean Networks With Multiple Missing Data

Huang, Chi; Wang, Wei; Lu, Jianquan; Kurths, Jüergen

doi:10.1109/tac.2021.3060733

Cited by 19 publications

(1 citation statement)

References 25 publications

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“…The utilization of these methods relies heavily on the amount and accuracy of data. As the distribution networks grow in size and operational complexity, the loss and the inaccuracy of required data are becoming inevitable (Deka et al, 2018;Huang et al, 2021), which causes difficulty in striking a balance between economy and accuracy when tracing the power flow by the conventional methods. Additionally, these PFT methods can only analyze the three-phase balanced power grids, which is unsuitable for the distribution networks with asymmetric loads and lines (Kwon et al, 2015;Tellez et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Efficient whole-process carbon intensity calculation method for power users in active distribution networks

Shen¹,

Dan²,

et al. 2022

Front. Energy Res.

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With the tightening restrictions on carbon emission globally, the carbon intensity of the economic is receiving more attention than ever, but the results obtained by conventional methods are not accurate enough for the responsibility division. To change this situation, a power flow tracking method aimed at the distribution networks and an electricity-consumption-based carbon intensity calculation framework are proposed in this paper. Firstly, to overcome the obstacles created by the three-phase asymmetries and the scale expansion of the networks while processing power flow tracing, a phase-split calculation regime and a high-efficiency power flow tracing method are proposed, respectively. On that basis, a whole-process carbon intensity calculation framework is reported. By adding simplified models about industrial production processes, this paper gives the calculation route from the energy consumption to the carbon intensity for each user in the distribution network. Finally, we emulated with the IEEE 34 bus and 123 bus test feeders and analyze the numerical results, to prove the efficiency and effectiveness of the framework proposed.

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Section: Introductionmentioning

confidence: 99%