Electric Power Communication Network Research Articles

Anti‐leakage transmission method of high privacy information in electric power communication network based on digital watermarking technology

AbstractA method of transmission of highly confidential information in power communication network based on digital watermarking technology is proposed in order to reduce the leakage risk of power information and achieve the purpose of safe transmission of private information. This method establishes the data topology model of power communication network and connects the data receiving and sending terminals. Digital watermarking technology is used to embed digital watermarking in the information to be transmitted, encrypt the private information, and optimize the DES encryption algorithm to encrypt the information twice, so as to realize the safe transmission of information. The experimental results show that the digital watermark embedding rate, DES encryption rate, DES decryption rate and watermark extraction rate of the proposed method are all above 90 Mbps, and the file transfer time of 3965Byte is less than 5s, leakage risk rate and packet loss rate are 0.0001% and 0.006%, respectively, which effectively protects the security of high privacy information in the power communication network and prevents information leakage.

A joint extraction method for fault text entity relationships in smart grid considering nested entities and complex semantics

Entity relationship extraction is the core task of text mining and intelligent retrieval, which can automatically extract the semantic relationships between entities. For a problem of low accuracy of information extraction due to semantic complexity and nested entities in the text in the field of electric power communication network, this paper proposes an Orth-Biaff-CasRel method for joint extraction of entity relationships in faulty text. The method incorporates the RoFormer of rotational position as a coding layer in the encoding process, capturing the relative positional relationships between entities in the text; In addition, considers the entity content information and entity boundary information, designs the head entity extraction method with Orthogonalized Biaffine attention mechanism. Finally, combining stacked pointers and adding hidden layers in the joint extraction of tail entities and relationships to achieve accurate extraction of information from complex semantic fault texts. The proposed method is experimentally verified in real fault texts of power communication networks and achieves good results, significantly outperforming the existing methods in terms of accuracy, recall and Fl value, with an improvement of 4.41 %,1.43 % and 2.92 %, respectively.

Application of Electronic Information Engineering Technology in Intelligent Communication

As a representative of advanced science and technology, communication intelligence technology has developed steadily in the past few years. At present, the wide application of electronic information engineering technology in electric power industry has a very important impact on the development and construction of electric power communication network. Electronic engineering technology provides a good solution to solve the problem of unstable power supply in China's power system, which not only promotes the development of the power industry, but also plays an important role in the maintenance of China's power system. In recent years, with the steady development of artificial intelligence technology, its application is also increasing, and it has gained more and more widespread social attention. Nowadays, with the continuous development of Internet technology and electronic computers, people's cognition of artificial intelligence technology and artificial intelligence products has slowly changed. The continuous progress of science and technology has made artificial intelligence walk in the front of today's scientific and technological development, and has attracted high attention and application from all walks of life. As the main communication technology produced in today's society, electronic engineering technology provides great convenience for People's Daily life. Electronic engineering technology is constantly innovating and breaking through on the basis of existing, and developing in the direction of intelligence.

Power communication digital flow prediction method based on VMD-LSTM-SVM model

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.

Enhancement of failure independent path protection preconfigured cycles for electric power communication networks

For the purpose of improving the resources utilization efficiency and decrease network redundancy of electric power communication network (EPCN), the paper explores using failure independent path protection preconfigured cycle (FIPP p-Cycle) to provide backup paths for electric communication service and presents a protection algorithm of enhanced FIPP p-Cycle with traffic grooming (EFIPP-TG). Firstly, the multiplexing conditions of FIPP p-Cycle are analyzed specifically, and we propose a FIPP p-Cycle multiplexing algorithm to improve the utilization efficiency of backup resources. Then segment protection algorithm for working path is designed to decrease service blocking ratio as much as possible. In addition, by taking advantage of traffic grooming strategy, the routing paths of services are optimized, yielding effective decrease of network blocking probability. Simulation results from different topologies demonstrate that compared with traditional FIPP p-Cycle scheme, other p-Cycle based protection algorithms and shared backup path protection algorithm, the proposed EFIPP-TG algorithm can significantly reduce the redundancy and blocking probability of networks, shorten the length of backup path and hence improve the reliability of service and performance of network survivability.

Digital twin‐based online tools for electric power communication system training: Online digital twin power communication system

Electric power information has garnered particular interest in conventional electrical power systems because it plays a crucial role in the electric power industry. Additionally, electric power communication networks ensure the overall power system's reliability and safety. The concepts and techniques used in digital twin (DT)-based online tools for electric power communication networks are introduced in this paper. Moreover, online DT tools are proposed as daily learning and training resources for both new staff and communication commissioners, which can be used for the internet and the company intranets. Users can control DT and physical equipment simultaneously, and device status can be seen in real time. The design, modelling, control principles, data collection, and visual display of the DT tools are all covered in this study. To validate the applicability of the proposed framework, a case study for optical fibre damage and the recovery process in a typical communication interruption malfunction is investigated. The research presented in this paper has the potential to provide useful tools and new paradigms for designing online DT training and education systems.

Importance Assessment of Communication Equipment in Cyber-Physical Coupled Distribution Networks Based on Dynamic Node Failure Mechanism

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.

Cascading failures in isotropic and anisotropic spatial networks induced by localized attacks and overloads

Cascading failures are catastrophic processes that can destroy the functionality of a system, thus, understanding their development in real infrastructures is of vital importance. This may lead to a better management of everyday complex infrastructures relevant to modern societies, e.g., electrical power grids, communication and traffic networks. In this paper we examine the Motter–Lai model (2002 Phys. Rev. E 66 065102) of cascading failures induced by overloads in both isotropic and anisotropic spatial networks, generated by placing nodes in a square lattice and using various distributions of link lengths and angles. Anisotropy has not been earlier considered in the Motter–Lai model and is a real feature that may affect the cascading failures. This could reflect the existence of a preferred direction in which a given attribute of the system manifests, such as power lines that follow a city built parallel to the coast. We analyze the evolution of the cascading failures for systems with different strengths of anisotropy and show that the anisotropy causes a greater spread of damage along the preferential direction of links. We identify the critical linear size, l c, for a square shaped localized attack, which satisfies with high probability that above l c the cascading disrupts the giant component of functional nodes, while below l c the damage does not spread. We find that, for networks with any characteristic link length, their robustness decreases with the strength of the anisotropy. We show that the value of l c is finite and independent of the system size (for large systems), both for isotropic and anisotropic networks. Thus, in contrast to random attacks, where the critical fraction of nodes that survive the initial attack, p c, is usually below 1, here p c = 1. Note that the analogy to p c = 1 is also found for localized attacks in interdependent spatial networks (Berezin et al 2015 Sci. Rep. 5 8934). Finally, we measure the final distribution of functional cluster sizes and find a power-law behavior, with exponents similar to regular percolation. This indicates that, after the cascade which destroys the giant component, the system is at a percolation critical point. Additionally, we observe a crossover in the value of the distribution exponent, from critical percolation in a two-dimensional lattice for strong spatial embedding, to mean-field percolation for weak embedding.

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

There is a trend that traffic unbalance in electric power communication networks is becoming more and more prominent because of the increasing communication demand from the development of the energy Internet. To reduce transmission risk and improve network’s reliability and throughput, it is necessary to optimize the routes of communication services with traffic and risk balance strategies. In this paper, a risk and traffic-based routing algorithm for electric power communication services is proposed. We first establish a risk balance strategy with service importance and link availability, then proposes a traffic balance scheme considering bandwidth on links and traffic-processing capability of nodes. Based on traffic characteristics and service risk, the proposed algorithm considers the traffic flow and risk value of the link synthetically and designs a corresponding routing strategy by introducing the balance factor. Numerical results obtained in a real electric power communication environment demonstrate that the algorithm can reduce both the blocking probability and the service risk simultaneously, which achieves the balance between traffic and risk and obtain the optimal performance of electric power communication network.

Design of an 8X8 Optical Matrix Protection Device based on Electric Power Communication Network

In order to realize the fast establishment of power fiber circuitous channels, the reliability of power communication optical cable network is guaranteed. An optical matrix 8X8 protection device is designed by using all-optical switcher. The test results show that at the end of each input light path, any 8 paths can be switched, it can achieve 1:8 protection switch, realized the arbitrary switching of three modes and has the function of remote fiber route scheduling.

Design and application of electric power communication network comprehensive simulation training system

To solve the problem that current communication network training tools have limited functions and can’t effectively support the electric power communication network training, a new communication network comprehensive training simulation system is designed and implemented. This paper introduces the architecture of the system and function of each part. Then the simulation model principle is explained. The paper introduces the key technologies of 3D modeling, mechanism modeling, communication network scenario automatic generation and network fault simulation. Finally, the system application is introduced and the results show that the system builds a multi-functional training tool to meet the requirements of training and assessment for electric power communication network personnels.

Research on Informatization Construction of Electric Power Communication Network under Smart Grid

This article analyzes the current situation and existing problems of the regional power communication network based on the theory of power communication technology, and then realizes the optimization design of the power communication integrated network system, including planning goals, communication cables, power communication transmission network and communication business network construction, and finally comprehensive Analyse the effect of the optimization design of the power communication integrated network system. Through the test of the power communication integrated network system, it is shown that the optimized network system can effectively meet the requirements of the unified construction of the prefectures and counties, and can also improve the reliability of the regional data network and the disaster tolerance system of the existing data network Demand to improve the stability of the system during operation.

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

With the development of the energy Internet, power communication services are heterogeneous, and different power communication services have different business priorities. The power communication services with different priorities have different requirements for network bandwidth and real-time performance. For traditional unified service, a scheduling method cannot meet these service requirements at the same time, and electric power communication network cannot guarantee the quality of service. Therefore, how to make full use of the time-varying characteristics of communication resources to meet the business needs of different priorities and achieve the goals of high resource utilization and transmission quality has become one of the urgent problems in the power communication network. For this reason, in order to adapt to the real-time congestion of the network, we have designed a packet scheduling method based on the dynamic adjustment of service priority, which dynamically adjusts the priority of the power service on the node; in addition, an evaluation method for the trust value of wireless forwarding nodes is introduced to improve the security of data transmission; and finally, we valuate the channel quality to establish a reasonable and efficient packet scheduling mechanism for services of different priorities. Simulation results show that this method improves the communication performance of high-priority services and improves the spectrum resource utilization of the entire system.

Assessment of the robustness of cyber-physical systems using small-worldness of weighted complex networks

This paper extends the definition of Small-worldness to weighted complex networks and uses it to assess the robustness of Cyber-physical Critical Infrastructure Systems (CPCIS) and consequently to identify system critical components. System uncertain parameters – electric power system loading and communication network latency, are first incorporated in the model, and small-world property indices – Characteristic Path Length, Clustering Coefficient, and small-worldness are assessed in their dynamic (time-varying) forms to represent real-time uncertain criticalities, evaluated using probability distribution functions. The most critical physical and cyber system components are then identified, and their dependencies on physical and/or cyber system are identified. It was clearly demonstrated that the CPCIS components are mutually dependent on each other and that this dependency (represented by the drop of dynamic small-worldness in one system if a failure occurs in the other system) might vary from bus to bus. The proposed methodology is illustrated on a realistic interconnected 1326-bus transmission network and 88 bus star-connected ICT network, divided into 6 control zones.

Optimization of communication capacity for load control considering shared risk link group in source-grid-load system

In the context of energy wide-area transmission and large-scale access of distributed renewable energy, to improve the elasticity of the grid, Jiangsu Province has established a source-grid-load system (SGLS), which can optimize the dispatching of power supply, power grid, and power load jointly.This paper focuses on optimizing the communication capacity for load control consider shared risk link group (SRLG) failure in SGLS. We propose a multicast routing algorithm to provide working communication paths for staged load control by organizing the load control terminals in the same stage into a multicast group. Next, we design a protection algorithm by modeling SRLG based on p-cycle technique to provide backup communication paths for load control. Then we present a joint optimization algorithm of multicast routing and protection (JOMRP) based on mixed integer linear program (MILP) to improve the resource utilization rate of the communication for load control. Finally, we simulate in electric power communication network topology of Jiangsu Province. Simulations demonstrate the proposed algorithm can promote the utilization rate of the communication links for load control when SRLG failure occurs.

Joint Interference Management and Power Allocation for Relay-Assisted Smart Grid Communications

In this article, we study an interference management and power allocation problem when electrical power communication (EPC) networks are densely deployed in the coverage of licensed networks. The purpose is to reduce the electricity cost and improve the licensed operator’s profit subject to the quality-of-service (QoS) of licensed users (LUs). First, the electricity cost is modeled based on the Taguchi loss function, which links the cost to the communication errors in the EPC networks. The operator’s profit is formulated by introducing a bonus-penalty mechanism, and a rational interference threshold (IT) of the licensed base station (LBS) is set to ensure the QoS of the LU. Second, we formulate the interference management and power allocation problem as a Stackelberg game, and a successive convex approximation algorithm is used to solve this problem to achieve the optimal IT and relay power. The simulation results indicate that the cost to the utility company is reduced and the profit of the LBS increases.

Research on Traffic Classification Technology of Electric Power Communication Network Based on Hidden Markov Model

With the penetration of information and communication technology into power production and operation, the dependence of power grid on power communication network becomes stronger and stronger, and the reliability and transmission performance of communication network become the key factors affecting the safe and stable operation of power grid. Based on the analysis and comparison of the existing network traffic models, a hidden Markov model with both long-correlation and short-correlation characteristics is selected to fit and predict the traffic characteristics of the power communication network itself. The article focuses on the development and changes of the production and management of power grid companies, and analyzes the company’s business structure and the bearing relationship of various types of power communication networks. The traffic classification technology of power communication network based on hidden Markov model proposed in this paper has higher accuracy and better stability, and the scores of each evaluation index are higher.

Optimization method of power communication network based on improved particle swarm optimization

For the maintenance of electric power communication network, this paper puts forward a kind of based on improved particle swarm optimization algorithm, a new method for the optimization of electric power communication network to the whole network, the minimum number of nodes and node redundancy transmission capacity as fitness, damaged business in electric power communication network nodes dynamically allocated, make damaged greatly enhance the survivability of the business, to ensure the maximum recovery damaged business, through the contrast can be concluded that the method has good robustness, fast running speed, the advantages of small number of individual relationships with optimal results.

Research on Network Resource Management Technology in Multi Access Network Environment of Terminal Communication Access Network

In view of the traditional electric power communication network terminal access to the lack of unified management and control of the situation, based on the analysis of heterogeneous network management technology and channel protection technology of current mainstream access network communication methods in resource dynamic changes of frequency, time slot and cyber source; smart grid multi services in heterogeneous network integration under the bearing design scheme and choose to create favorable conditions for the optimization of communication terminal access.

Interference Compensation for Smart Grid Communications: A Distributed Power Control Approach

The co-tier and cross-tier interferences become serious when the electric power communication networks are deployed densely in the coverage area of the primary network base station (PBS). To reduce the co-tier interference in the electric power communication networks and guarantee the quality of service of the primary networks users (PUEs), we propose a distributed power control method. First, a reasonable interference threshold of the PBS is chosen to guarantee the PUE’s transmission requirement. Then, a fictitious power-price game with interference compensation is employed to update the power of gateways in smart grid on the condition of the interference threshold. Finally, a modified distributed power control method is proposed to protect the primary network link. Simulation results show that the co-tier interference among gateways is reduced efficiently, the target signal-to-interference plus noise ratio of the PUEs can be achieved, and the network performance is improved.