An analysis of the invulnerability for communication networks base on Cascading failure model

Qu, Yayun; Gao, Mei; Chen, Yingmei; Feng, Jing; Zhang, Liang

doi:10.1109/icris52159.2020.00046

Cited by 2 publications

(2 citation statements)

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“…To clarify the occurrence and propagation mechanism of cascading failures in a power grid, researchers analyzed and studied different perspectives, such as a complex network topology and actual network characteristics, to find ways to block and reduce cascading failures. Depending on the different purposes of the modeling, the research on power system cascading failures was mainly divided into the following two ideas: (1) models with complex system theories such as power flow calculation and stability analysis as the core, including the CASCADE model [12], branching process model [13], and optimal power flow (OPF) model [14], and (2) abstract modeling of power systems and analysis of their characteristics, using complex network theories to reveal the relationship between the topology characteristics and cascading failure evolution, such as the small-world network model. The main application of this paper is the DC power flow calculation model.…”

Section: Related Workmentioning

confidence: 99%

A DRL-Based Load Shedding Strategy Considering Communication Delay for Mitigating Power Grid Cascading Failure

et al. 2023

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Successive failures in power transmission lines can cause cascading failures in the power grid, which may eventually affect large parts of the power grid and even cause the power grid system to go down. Collecting and transmitting primary equipment information and issuing load-shedding action commands in the power grid depend on the power communication network. With the help of the power communication network, we can better observe the situation of the power grid in real time and provide a guarantee for the regular working of the power grid. However, the communication network also has the problem of communication delay causing latency in load-shedding action. On the premise of preserving the key physical properties and operational characteristics of the power grid, this paper uses the IEEE 14 and 30 bus systems as examples to establish a direct current (DC) power flow simulation environment. We establish a communication network model based on the power grid topology and the corresponding communication channels. For the problem of cascading failures occurring in the power grid after transmission line failures, a load-shedding strategy using soft actor-critic (SAC) based on deep reinforcement learning (DRL) was developed to effectively mitigate cascading failures in the power grid while considering the impact of communication delay. The corresponding communication delay is obtained by calculating the shortest communication path using the Dijkstra algorithm. The simulation verifies the feasibility and effectiveness of the SAC algorithm to mitigate cascading failures. The trained network can decide on actions and give commands quickly when a specific initial failure is encountered, reducing the scale of cascading failures.

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Section: Related Workmentioning

confidence: 99%

A DRL-Based Load Shedding Strategy Considering Communication Delay for Mitigating Power Grid Cascading Failure

et al. 2023

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“…Li et al studied the cascading failure in the power grid and communication networks and proposed a novel algorithm based on the Open Shortest Path First (OSPF), finding that nodes deliver packets with high priority first can effectively reduce the load loss after cascading failures [5]. Qu et al studied the cascading resilience of communication network and found that when the initial load of the network is determined, the optimal combination of capacity parameters can be determined to improve the network's performance [6]. Li and Cheng coupled the power grid network and the communication network.…”

Section: Introductionmentioning

confidence: 99%

A cascading failure model of communication network with logistic function and node capacity expansion strategy

Yang

Zeng

2023

Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023)

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There are few uniform models for networks in the real world. This article selects the communication network for study. Usually, when the communication base station exceeds its capacity, a common measure is to transfer the overloaded part of the node to relieve the communication system. This paper introduces the logistic function as the probability function of node failure and develops a cascading failure model with the features of the communication network. Based on the wireless mesh network (WIN) also known as multi-hop mesh network (MHMN) technique to transfer the overloaded part, a new measure which is expanding the node capacity to impact the network vulnerability is discussed. Case study demonstrates the existence of a threshold value for node capacity expansion factor keeping a good balance between cost and network vulnerability and proves the threshold value in the communication network in the real world.

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An analysis of the invulnerability for communication networks base on Cascading failure model

Cited by 2 publications

References 1 publication

A DRL-Based Load Shedding Strategy Considering Communication Delay for Mitigating Power Grid Cascading Failure

A DRL-Based Load Shedding Strategy Considering Communication Delay for Mitigating Power Grid Cascading Failure

A cascading failure model of communication network with logistic function and node capacity expansion strategy

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