A Packet Scheduling Method Based on Dynamic Adjustment of Service Priority for Electric Power Wireless Communication Network

Electrical power communication networks undertake complicated power services. They interact with physical power grids all the time, which will result in a high risk to power grids when their electric power communication network is attacked. Therefore, to improve the reliability of power systems, it is of great significance to identify the key links of communication networks. Existing research studies focus more on the risk of power communication services undertaken by communication links, which ignores the frequent interaction between power grids and communications networks. In this paper, from a multi-layer network perspective, an assessment method of communication equipment is proposed in view of the operation characteristics of nodes in different systems as well as the dynamic fault propagation between homogeneous communication nodes. Firstly, we build a model of cyber-physical power interdependent network. Then, for communication nodes, a dynamic model is adopted for cascading failure among the nodes based on the load-capacity model. Afterward, we define an index to evaluate the node importance considering characteristics of the operation of both communication networks and power grids. Finally, a local power grid is taken as an example for verification by comparing the effects of different indexes. The simulation results demonstrate the validity of the evaluation method proposed.

The path congestion and communication risks of electric power communication network have emerged as the carried businesses are becoming more and more heavy. In this paper, a multi-objective optimization method for power communication network routing considering the importance of the carried businesses is proposed to reduce load imbalance and transmission risk. Firstly, information entropy is introduced as the objective of communication network load balancing optimization. And a risk assessment model for power communication network nodes and links is established. Then fuzzy membership functions are adopted to singularize the two objectives to jointly optimize path congestion and communication risks. The device nodes are dynamically divided according to the carried businesses to pursue the global optimization of the power communication network in which the Yen's algorithm is adopted. Finally, this paper uses the IEEE 30-bus communication network to carry out case simulations and analyzes the proposed method to verify the effectiveness and feasibility.

Aiming at the framework of electric power communication network and the characteristic of alarm data, this paper investigates the alarm correlation and fault location of electric power communication network. Taking into account dependency search tree which can decrease searching space and nodes of overlay, a method of fault location in electric power communication network based on dependency search tree is proposed. Alarms belonged to one class in alarm set are aggregated, and they are replaced by center node. In this way, large numbers of alarms are reduced and they can express the fault information accurately. Then greedy algorithm is repeatedly used to calculate residual alarms until the exact fault nodes are found out. This method based on the model of fault transmission is easy to build a model, and it can make use of the dependency of nodes directly and it is still applicable when many faults occur. The result of practical example proves that this method can analyze alarm information of electric power communication network and locate faults rapidly and exactly. So the faults can be found out in time, then the electric power communication network can be insured to operate steadily.

Application of optical fiber nanotechnology in power communication transmission

The power communication networks is a relatively complex system with high security, which is performed in a number of ways, such as safety of power generation equipment, security of transmission and distribution lines, as well as data transmission security. The core of power communication networks security is context-aware data processing. With continuously extending in scale of the power communication networks, power communication data process become more complicated. In order to realize automatization of data processing of the power communication networks, this paper proposed a Context-aware Data Processing Model in power communication networks (CDPM). In this three-layer architecture, a Distributed Database Based on Data Categorization (DDB-DC) is designed in storage layer, which is able to choose the most efficient approach to store the context-aware data from the gathering layer according to different context-aware data types. Then, a Real-time Feature Extraction algorithm (RFE) for context-aware systems is presented in the computing layer to process the context-aware data stream. The model is a new data processing method in power communication networks.

The maximum flow problem of uncertain network

This paper develops a simple algorithm for having robust optimal computer control in decentralized stochastic singularly-perturbed systems by poles assignment. This type of noise-disturbed system can be often seen in computer controlled large-scale systems such as electric power systems, communication networks, and aerospace systems. Due to that this computer controlled system possesses the fast response characteristics of the subsystems, the system analysis can be simplified by singularly perturbation methodology and the aggregation matrix is also applied to obtain faster calculation. Finally, the aggregation matrix is found out that will be an important intermediary to easily achieve the robust sub-optimal poles assignment. In the end, three steps are proposed to complete the robust sub-optimal pole assignment.Keywordsrobustcomputerpoledecentralizedstochasticsingularly-perturbedaggregation matrix

Under the current trend of abundant information on power business, large data concentration, and large flow explosion, aiming at the randomness, volatility, and uncertainty of massive flow of electric power communication network, a digital power flow prediction method based on VMD-LSTM-SVM model is proposed. The interaction between the values of each traffic index before and after time is considered. LSTM is used to process traffic data and make an accurate prediction of future traffic. The power communication network can make dispatch responses to possible communication congestion by using link resources according to traffic prediction results and ensuring the transmission quality of power service data.

In order to ensure the reliable operation of the power system, when a fault occurs, it is necessary to determine the location and cause of the fault in the shortest possible time and troubleshoot it as soon as possible in order to return the service transmission to normal. In this paper, the power system and communication system are coupled with each other to construct a power communication network, and association rule mining is utilized to find valuable information for fault diagnosis from historical alarm data. With the help of a new parallel computing architecture, Spark, a weighted association rule parallel mining platform built on Spark, was constructed under the power communication network fault diagnosis technology. By mining the alarm information through parallel computing, we can quickly find the association relationships between the alarm information and utilize the mined alarm association rules. In this way, the fault diagnosis of the power communication network is completed. Finally, experiments are carried out in the built IEEE39 node simulation environment, and the simulation results show that the proposed method has a power transient fault response speed of 0.3μs , and is able to quickly and accurately complete the fault diagnosis of the power communication network.

Power communication integrated network management system plays a significant role in the planning, design and maintenance of the whole power communication network. This paper analyzes the characteristics of the current power communication network and the corresponding integrated network management system, and improves the design of the existing power communication network integrated network management according to Sdn. This network management system can be used as a supplementary system for the current power system integrated network management function, realizes the global visualization of the power communication network, and provides a strong support for the operation and maintenance of the power communication network. The test running environment is built in the laboratory to realize the mapping of physical route and logical link. The preliminary verification test of the new network management system based on openflow technology is carried out, and the key design methods and ideas of the system are given.

Collaborative optimization of distribution network and 5G base stations considering its communication load migration and energy storage dynamic backup flexibility

Power system security and stability control is heavily dependent on the reliability of communication network. The communication interruption and latency may cause security and stability issues in power system. Thus, studying the dynamic procedure of the interaction between power system and communication network in fault situation becomes more and more important. In this paper, by analyzing the weakness of the existing co-simulation frameworks, a new co-simulation framework, Global Status Event-Based Iterative Co-simulation Framework, is proposed, in which a global event scheduler manages the communication simulator and power simulator, and power simulator will run iterative simulation as a new event is identified and added to the global event scheduler. Then, a co-simulation platform based on the proposed framework is introduced which integrates the power system simulator and communication network simulator. Finally, a case is studied and reveals the procedure of the cascading failures in both power system and communication network, which cannot be captured by the simulation of a single system.

With the extensive construction of integrated network management system for electric power communication, the practical level of construction has become a key factor on its effective. This article analyzes the advantage and necessity of the construction of integrated centralized power communication network management system, review and summarize the electrical communication in real-time operation, maintenance management, operating mode management, professional management, the integrated management and control needs, professional collaborative management six aspects of the functional requirements analysis, elaborate communication network management system application exploration and research, and the future utility of the road overall construction ideas.

With the continuous development of power communication network, higher requirements are put forward for the stability, availability, flexibility and intelligent level of power communication system. The existing power communication network has encountered functional or performance bottlenecks. In order to solve the above problems and effectively support the construction of ubiquitous power Internet of things, it is necessary to introduce SDN (software defined Networking) technology into power communication network. Based on the characteristics of SDN technology, such as open, ubiquitous, intelligent, interactive and reliable, and based on the optimal resource adaptation technology, the cyber physical power network is decomposed, reused, and managed through unified centralized management. The practical example shows that this method can improve the utilization of communication network resources and promote the intellectualization of power communication network. Therefore, the efficient operation of power system equipment can be promised.

The study mainly presents a research on drilling down the power communication data from massive amounts of the basic repository in communication resource management system, and uses advanced technological method to enhance the intelligent analysis level of communication resources, which solves the problem such as information share difficult between power communication network annual planning and management data. The study further diminishes the mapping difficulty by providing an intelligent mapping aids for annual operation mode and device report which resolves the problems such as long cycle mapping, low degree automation and low intelligent level of communication annual operation mode, and it also seeks to establish an effective mapping design system for detail, real and scientific program design of annual operation mode by exploring the models of intelligent aided designing system to meet the specific needs in power communication network operation mode optimization.