Risk and traffic based service routing optimization for electric power communication network

Li, Bin; Lu, Chao; Qi, Bing; Yi, Sun; Han, Jian

doi:10.1016/j.ijepes.2021.107782

Cited by 9 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Traditional risk balancing strategy divides the information importance according to the class of communication services [23], which ignores the fact that information belonging to the same services class also has different importance due to the varying levels of importance of different power nodes [24]. Therefore, we propose a more targeted risk balancing strategy based on the importance of information and apply it to the SFC-RS.…”

Section: Improved Risk Balancing Strategymentioning

confidence: 99%

See 1 more Smart Citation

Risk-Balanced Routing Strategy for Service Function Chains of Cyber-Physical Power System Considering Cross-Space Cascading Failure

Wang,

Tong,

et al. 2024

ENERGY

View full text Add to dashboard Cite

Cyber-physical power system (CPPS) has significantly improved the operational efficiency of power systems. However, cross-space cascading failures may occur due to the coupling characteristics, which poses a great threat to the safety and reliability of CPPS, and there is an acute need to reduce the probability of these failures. Towards this end, this paper first proposes a cascading failure index to identify and quantify the importance of different information in the same class of communication services. On this basis, a joint improved risk-balanced service function chain routing strategy (SFC-RS) is proposed, which is modeled as a robust optimization problem and solved by column-and-constraint generation (C-CG) algorithm. Compared with the traditional shortest-path routing algorithm, the superiority of SFC-RS is verified in the IEEE 30-bus system. The results demonstrate that SFC-RS effectively mitigates the risk associated with information transmission in the network, enhances information transmission accessibility, and effectively limits communication disruption from becoming the cause of cross-space cascading failures.

show abstract

Section: Improved Risk Balancing Strategymentioning

confidence: 99%

“…I mn (23) According to the definition of entropy value, a smaller entropy value corresponds to fewer highrisk scenarios in the system, indicating a lower probability of triggering cross-space cascading failures.…”

Section: Performance Evaluation Indicatormentioning

confidence: 99%

Risk-Balanced Routing Strategy for Service Function Chains of Cyber-Physical Power System Considering Cross-Space Cascading Failure

Wang,

Tong,

et al. 2024

ENERGY

View full text Add to dashboard Cite

show abstract

“…In [19], Jin et al derived the trade-off between routing path diversity and power consumption based on the Lyapunov, providing EPCN with acceptable power consumption for delay tolerant data transmission. In [20], Li et al proposed a risk balancing strategy with service importance and link availability by introducing a balancing factor to design corresponding routing optimization. However, the above research requires repeated exploration of multiple paths to achieve convergence, resulting in long optimization time and poor data transmission performance.…”

Section: Introductionmentioning

confidence: 99%

Traffic collaboration optimization method for power communication network based on segmentation learning

Kang,

Wu,

Zhang

et al. 2024

International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023)

View full text Add to dashboard Cite

The rapid development of the energy internet, the deep integration of the power system and information system, and the emergence of various new services in the distribution network have led to an explosion of service data. Traditional routing optimization methods are inadequate in satisfying the efficiency and reliability requirements of the power communication network for data transmission. This paper presents a collaborative optimization method for enhancing the traffic in the power communication network based on segmentation learning. Firstly, we propose a power service data transmission routing architecture in EPCN, where multiple routes between the source and destination nodes are available. Secondly, a segmentation learning-based traffic collaboration optimization algorithm for EPCN is proposed, which divides the traffic to explore the transmission performance of multiple routes within one optimization, thereby reducing data congestion at critical nodes. Finally, simulation results demonstrate that the proposed algorithm outperforms in terms of data transmission delay and routing optimization speed.

show abstract

“…In a communication network, each communication path typically exhibits varying communication performance and reliability. The task of selecting the optimal communication path for service information flow, based on specific objectives, is known as a routing optimization problem (Karamdel et al, 2022;Kong and Jiang, 2022;Li et al, 2022). This problem can be further divided into routing balance optimization (Hammoudeh and Newman, 2015;Cai et al, 2022) and communication performance optimization (Du et al, 2022), depending on the optimization goals.…”

Section: Introductionmentioning

confidence: 99%

Communication network robust routing optimization in an integrated energy cyber–physical system based on a random denial-of-service attack

Fan,

Huang,

Wang

et al. 2024

Front. Energy Res.

View full text Add to dashboard Cite

The integration of power grids and communication networks in smart grids enhances system safety and reliability but also exposes vulnerabilities to network attacks, such as Denial-of-Service (DoS) attacks targeting communication networks. A multi-index evaluation approach is proposed to optimize routing modes in integrated energy cyber-physical systems (IECPS) considering potential failures from attacks. Security and economic service evaluation indexes are incorporated to quantify the significance of information flow routing. An optimization model for electric, heat, and gas routing in worst-case scenarios is formulated and solved using a column and constraint generation algorithm. The optimized routing method effectively circumvents specified attack areas, reducing the correlation degree of communication links within the attack area. Comparison with single-service optimization methods demonstrates the superiority of the proposed approach in mitigating the impact of network attacks on IECPS. The study highlights the importance of considering security and economic factors in optimizing routing modes to enhance the resilience of integrated energy cyber-physical systems against network attacks, particularly DoS attacks on communication networks. The evaluation index approach presented in this study provides a comprehensive method for assessing the importance of communication links in IECPS and optimizing routing modes to improve system robustness and reliability in the face of network attacks.

show abstract

Risk and traffic based service routing optimization for electric power communication network

Cited by 9 publications

References 31 publications

Risk-Balanced Routing Strategy for Service Function Chains of Cyber-Physical Power System Considering Cross-Space Cascading Failure

Risk-Balanced Routing Strategy for Service Function Chains of Cyber-Physical Power System Considering Cross-Space Cascading Failure

Traffic collaboration optimization method for power communication network based on segmentation learning

Communication network robust routing optimization in an integrated energy cyber–physical system based on a random denial-of-service attack

Contact Info

Product

Resources

About