2021
DOI: 10.1109/access.2021.3071463
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Optimal Planning Method for Power System Line Impedance Based on a Comprehensive Stability Margin

Abstract: With the increasing scale of power systems and the large-scale application of new energy technologies, the planning and construction of future power grids and the stable operation of systems face severe challenges. Among them, transient stability and short-circuit current are two key factors that determine the safe and stable operation of a power system. However, in traditional power-grid planning, there is little research on the strategy of coordinating the solution between transient stability, short-circuit … Show more

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Cited by 5 publications
(3 citation statements)
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“…Reducing loss is the most direct low-carbon measure in power grid links. In this paper, the network loss is modeled based on DC power flow and embedded into the power grid planning model to realize the collaborative optimization of network loss management and power grid planning [25].…”
Section: Reduce Power Grid Lossmentioning
confidence: 99%
“…Reducing loss is the most direct low-carbon measure in power grid links. In this paper, the network loss is modeled based on DC power flow and embedded into the power grid planning model to realize the collaborative optimization of network loss management and power grid planning [25].…”
Section: Reduce Power Grid Lossmentioning
confidence: 99%
“…There are two important issues in this regard: formulating the problem and solving it with an appropriate method. Various optimization approaches have been presented in the literature, including the Exterior Penalty Function (EPF) method [13] as a gradient-based approach. Furthermore, since there may be more than one objective, such as minimizing operating costs and improving voltage profiles, the problem can be formulated as a multi-objective optimization process.…”
Section: Introduction a Motivationmentioning
confidence: 99%
“…Since the structure of the neural network has a great influence on the forecasting accuracy, the complex mapping relationship between each index and investment demand cannot be obtained, and the assessment results cannot be quantitatively analyzed when a certain parameter changes, so that the accuracy of the neural network prediction method to predict the investment demand of the power system needs to be further discussed. In general, the existing measurement methods of the investment demand only take the power transmission and transformation infrastructure as the principal target, and the investment to solve the problems that threaten the safe and stable operation of the power system has not become the core component of the assessment scope (Li et al, 2021). Besides, these measurement methods lack an accurate quantitative database, and the complex mapping relationship of key factors within the power system planning framework is ignored, making the results of the assessment unreliable (Zhang et al, 2021;Li et al, 2018).…”
Section: Introductionmentioning
confidence: 99%