Robustness analysis of power system dynamic process and repair strategy

Zhou, Dongyue; Hu, Funian; Wang, Shuliang; Chen, Jun

doi:10.1016/j.epsr.2021.107046

Cited by 11 publications

(5 citation statements)

References 12 publications

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“…When the system has large disturbance, ∆𝑃 𝑚 and ∆𝑃 𝐿 are used to simulate the disturbance. For the detailed disturbance simulation method, please see Reference [9] . The matrix 𝑴 and matrix 𝑫 are defined as follows:…”

Section: Power System Modellingmentioning

confidence: 99%

An Improved Slow Coherent Groups Recognition Method for Dynamic Equivalence of Large Power System

Huang²,

Zhao³

et al. 2023

J. Phys.: Conf. Ser.

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The slow coherent groups recognition method is one of the dynamic equivalence techniques, which is based on the singular perturbation principle. Its algorithm performance is widely recognized. In order to reduce the solving difficulty and time consuming, this method ignores the generator stator damping effect. But during a fault, the generator stator damping effect directly affects the oscillation amplitude and frequency of the rotor angular curve. If the damping characteristics of the original system are ignored, when the damping torque coefficients of each generator vary greatly, the coherence between generators will be affected, and the accuracy of the simplified equivalent system will inevitably decrease. This paper proposes a new method based on the traditional slow coherent groups’ recognition method. The new method, which is based on the second-order model of the generator, can consider the generator stator damping effect without increasing the algorithm complexity. The active and reactive power of the system are decoupled. The eigenvalues of the system model and the general solution of the second-order differential equations are obtained through rigorous derivation. It also proposes a two-scale coherent groups recognition criterion. Finally, the effectiveness of the new method is verified based on the IEEE-39-Bus system.

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Section: Power System Modellingmentioning

confidence: 99%

An Improved Slow Coherent Groups Recognition Method for Dynamic Equivalence of Large Power System

Huang²,

Zhao³

et al. 2023

J. Phys.: Conf. Ser.

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show abstract

“…Literature [10] Based on Dijkstra's algorithm, a method is designed to locate the fault zone of off-grid equipment for intelligent operation and maintenance of electric power optical communication network. Literature [11] Based on complex network theory, a robustness analysis method is proposed according to methodological principles. Literature [12] Based on BP neural network, an intelligent protection method is proposed to realize the fault localization of the integrated power system of ships by taking the RMS values of current and voltage as inputs and the recognition results of neural network as outputs.…”

Section: Introductionmentioning

confidence: 99%

Research on fault localization methods of shipboard power networks

Liu,

AI,

Zheng

2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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Aiming at the complexity and networked characteristics of shipboard electric power network, complex network theory thinking is introduced to transform the electric power network into a network topology graph, using the reliability theory, combined with the minimum path method, the nodes with a large contribution to the failure rate are set as the network fault monitoring points for real-time monitoring of the network. In order to solve the problem of fault location in shipboard electric power network, this paper utilizes the shortest circuit idea to realize the search and location of faulty segments, and simulation experiments are carried out for the two cases of line failure and node failure, and a relatively good location effect is obtained.

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“…With the maturity of complex network theory, new ideas have been provided for analyzing complex system interactions in recent years [12] . It has been widely used in the fields of electric power safety [13] , railroad traffic safety [14], and oil depot production safety [15] , however, few scholars have applied it to the field of maritime traffic safety. Based on this, this paper collects 100 ship collision reports, extracts the causal factors in the reports, constructs a network model of ship collision causation based on complex network theory innovatively, quantitatively analyzes the interrelationship between the causal factors of ship collision using complex network topology, and explores the key causal factors of ship collision.…”

Section: Introductionmentioning

confidence: 99%

Cause analysis of ship collision accident based on complex network theory

Liu¹,

Zhu²,

Tian³

et al. 2023

International Conference on Internet of Things and Machine Learning (IoTML 2022)

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To determine the relationship between various factors leading to ship collision accidents and prevent ship collision accidents. This paper collected 100 reports of ship collision accidents, and 40 causative factors were determined from the four aspects of human, ship, environment, and management. The relationship among 136 kinds of causation factors was determined by extracting the causation chain from the accident report, and the causation network model of ship collision accidents was established. Python simulation was used to analyze the robustness of the causative network under deliberate and random attacks. By comparing the robustness of the causative network under degree value attack, betweenness centrality value attack, closeness centrality value attack, and PR value attack, the key factors in the causative network were identified, and corresponding prevention strategies were proposed. The simulation results show that the robustness of the causative network is weak under the deliberate attack, the robustness of the betweenness centrality value attack is the worst, and the node with a higher betweenness centrality value is the key node in the causal network, giving priority to the prevention of key nodes is conducive to the safe navigation of ships.

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Robustness analysis of power system dynamic process and repair strategy

Cited by 11 publications

References 12 publications

An Improved Slow Coherent Groups Recognition Method for Dynamic Equivalence of Large Power System

An Improved Slow Coherent Groups Recognition Method for Dynamic Equivalence of Large Power System

Research on fault localization methods of shipboard power networks

Cause analysis of ship collision accident based on complex network theory

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