Load balancing-based routing optimization mechanism for power communication networks

Xing, Ningzhe; Xu, Siya; Zhang, Sidong; Guo, Shaoyong

doi:10.1109/cc.2016.7563719

Cited by 19 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The paper establishes a risk assessment index system for the power communication network based on its static structure [28][29][30][31] and dynamic operation [32][33][34].…”

Section: B Construction Of Risk Assessment Index Systemmentioning

confidence: 99%

See 1 more Smart Citation

Risk Assessment Method of Power Communication Network Based on Gray Cloud Theory and Matter-Element Extension Model Coupling

Chen,

Xu,

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The failure of the power communication network often leads to a cascading failure of the power system. Evaluating the potential risks in the power communication network is crucial to ensure the stable operation of the power system. This paper proposes a comprehensive risk assessment method for qualitative and quantitative measures. Firstly, an index system for risk assessment, considering both static structure and dynamic operation, is established. The optimal weight of each index is determined using the combination game weighting method. Additionally, a risk assessment model for the power communication network is established by coupling gray cloud theory and matter-element extension model. The fuzzy theory's triangular modulus operator is utilized to fuse three types of fault probabilities, quantify the risk value of the power communication network, and assign it a grade. Finally, experimental results demonstrate that this method improves discrimination degree by 1.2%, 92%, and 85% respectively compared to other traditional algorithms.

show abstract

“…The paper establishes a risk assessment index system for the power communication network based on its static structure [28][29][30][31] and dynamic operation [32][33][34].…”

Section: B Construction Of Risk Assessment Index Systemmentioning

confidence: 99%

“…The risk severity level k of the current operating state of the power communication network is obtained using Equation (25), and the risk value is calculated based on Equation (13),Equation ( 14), Equation (33), and Equation (34). This corresponds to observation case 1 in table 3.…”

Section: ) Comparative Analysismentioning

confidence: 99%

Risk Assessment Method of Power Communication Network Based on Gray Cloud Theory and Matter-Element Extension Model Coupling

Chen,

Xu,

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Similarly, in reference [14], the authors take the risk of fiber optic links and switching nodes as their weights and use the Dijkstra algorithm to directly obtain the route with the lowest risk value as the service route. Reference [15] uses the KSP algorithm to search for multiple reachable routes for services and selects the route with the lowest network risk balance as the service route. Reference [16] considers the situation of route recovery after communication network failures.…”

Section: Related Workmentioning

confidence: 99%

“…The bandwidth requirements for different services vary, and their importance for the normal operation of the power grid also differs. Assuming the number of types of electricity services is denoted as K, the importance of each type of service can be calculated using the analytic hierarchy process [15]. Furthermore, we define the bandwidth requirement and importance of the k ∈ Π class of services as F k and I k , respectively, where Π = {1, 2, ..., K}.…”

Section: Power Servicementioning

confidence: 99%

Research on Power Service Route Planning Scheme Based on SDN Architecture and Reinforcement Learning Algorithm

Lv,

Wei,

et al. 2024

Electronics

View full text Add to dashboard Cite

The power communication network carries various power services to ensure the safe operation of the power network, among which, the relay protection service is the most important service. Reasonable planning of the service route can improve the effectiveness and reliability of data transmission in the power communication network, thereby ensuring the reliable operation of the power grid. This paper constructs a route planning architecture for the power communication network based on a software-defined network. On this basis, parameters such as the power service and network-carrying service status are defined. With the goal of minimizing network risk variance and considering link bandwidth utilization and overload constraints of relay protection services, a service route allocation problem has been raised. To solve this problem, a power service route planning scheme based on a reinforcement learning algorithm is proposed. This algorithm uses the state–action–reward–state–action (SARSA) algorithm to complete service route planning. The simulation results show that using the route planning scheme proposed in this paper can avoid the overload of relay protection services, reduce network risk variance, and effectively balance network risk.

show abstract

“…Literature [17] takes the risk of optical cable link and switching node as its weight, and adopts Dijkstra algorithm to directly obtain the route with the lowest risk value as the service route. Literature [18] uses KSP algorithm to find multiple reachable routes for services, and selects the route with the least network risk balance as the service route. Reference [19] considers the case of route recovery after a communication network failure.…”

Section: Introductionmentioning

confidence: 99%

A Power Service Route Planning Scheme Based on Relay Protection Service Overload and Dual Route

Lv¹,

Wei²,

Ma³

et al. 2023

Preprint

View full text Add to dashboard Cite

Relay protection service is the most crucial service carried by the electric power communication network, which is directly linked to the safe operation of the power grid. In the route planning of power services, a route planning architecture for the power communication network is constructed in this paper, considering the operation and maintenance requirements, such as relay protection service overload (RPSO) and dual route. To minimize network risk variance, the problem of single-service route allocation is formulated by taking the factors into account such as service delay, link bandwidth utilization, and RPSO constraints. Based on $k$ shortest paths algorithm, a route planning scheme for the power services is proposed, which considers RPSO and risk balance, and a strategy for implementing multi-service route planning of the communication network is studied. The simulation results show that the proposed route planning strategy can effectively avoid relay protection service overload, reduce network risk variance, and balance network risk.

show abstract

Load balancing-based routing optimization mechanism for power communication networks

Cited by 19 publications

References 5 publications

Risk Assessment Method of Power Communication Network Based on Gray Cloud Theory and Matter-Element Extension Model Coupling

Risk Assessment Method of Power Communication Network Based on Gray Cloud Theory and Matter-Element Extension Model Coupling

Research on Power Service Route Planning Scheme Based on SDN Architecture and Reinforcement Learning Algorithm

A Power Service Route Planning Scheme Based on Relay Protection Service Overload and Dual Route

Contact Info

Product

Resources

About