Modelling and simulation of intelligent multimedia communication networks

Power systems and especially Smart Grids increasingly apply Information and Communication Technologies (ICT) for exchanging information over wide area networks. Here, the performance of the ICT has become crucial for the development of new Wide Area Monitoring, Protection And Control (WAMPAC) [1] systems. In this context, simulations are a common way for evaluation, but power systems and communication networks are usually analysed with dedicated simulators. Therefore a combined simulation for analysing the dynamics and mutual impacts of both domains is needed. In this paper we present a generic hybrid simulation architecture based on the IEEE standard 1516 - High Level Architecture [2] to enable a combined simulation of power systems and communication networks in an integrated simulation environment. First, we introduce our hybrid simulator architecture, along with the communication and synchronization process between sub-simulators. Secondly, we present our communication networks architecture for modelling the network traffic caused by the information transmitted by control and protection algorithms within the electrical transmission system. Finally, we introduce our modelling approach for mapping entities between the power systems and the communication networks. For this purpose, we introduce our concept of a Substation Data Processing Unit, which represents entities on substation level by providing an IEC 61850 [3] based model for mapping logical functions for local process control, implementing decentralized protection and control algorithms and providing additional components for the power systems (e.g Phasor Measurement Units (PMUs) [4]).

At present, to precisely ensure the routine use of intelligent vehicles' communication network, accurate data transmission is of great importance, which can also, to some extent, improve the network failure management and maintenance of smart cars, thus affecting the intellectual analysis ability of intelligent cars. Therefore, it is very necessary to perform real-time monitoring of abnormal data in the everyday use of smart cars and their regular operation. Based on the detection of anomalous data of intelligent vehicles, an instantaneous frequency estimation method of signals transmitted by a communication network is proposed in this paper. In terms of abnormal data detection, after the time-frequency decomposition of the output signal of the collected communication network, the collected anomalous data can be detected by extraction, and then the detected and captured abnormal data is filtered to finally complete the characteristic extraction of the strange frequency of the abnormal data.

The emergence of Vehicular Ad-hoc Networks (VANETs) in the past decade has added a level of complexity to the modelling of Intelligent Transportation System (ITS) applications. In this paper, the Vehicular Network Integrated Simulator (VNetIntSim) is introduced as a new transportation network and VANET simulation tool by integrating transportation and VANET modelling. Specifically, it integrates the OPNET software, a communication network simulator, and the INTEGRATION software, a microscopic traffic simulation software. The INTEGRATION software simulates the movement of travellers and vehicles, while the OPNET software models the data exchange through the communication system. Information is exchanged between the two simulators as needed. The paper describes the implementation and the operation details of the VNetIntSim as well as the features it supports such as multiclass support and vehicle reuse. Subsequently, VNetIntSim is used to quantify the impact of mobility parameters (vehicular traffic stream speed and density) on the communication system performance considering Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) applications. Specifically, the routing performance (packet drops and route discovery time), IP processing delay in case of a file transfer protocol (FTP) application, and jitter in case of a Voice over Internet Protocol (VoIP) application and evaluated.

智能变电站在电力系统中处于重要地位，为了满足电力系统的要求，电力通信网结构不断地进行优化，大量引进通信领域新技术，使得电力通信网越来越复杂。影响变电站通信安全的因素日益增加，变电站通信网络安全这一问题变的日益复杂。本文以智能变电站的通信网络为基础，对智能变电站通信网络的发展历程进行简要介绍，分析比较几种通信技术的优缺点，针对变电站信息安全面对的威胁以及现阶段管理现状、管理制度等在实际运行中存在的问题进行深入讨论，全面研究分析了变电站面临的信息安全问题。 Intelligent Substation in the power system is an important factor. In order to meet the power system require- ments, the system constantly optimizes power communication network structures, including massive introduction of new communications technologies, making electric power communication network more complex than ever. Factors affecting the substation communication safety are increasing. Substation communication network security problems become more complex. In this paper, intelligent substation communication networks based on intelligent substation communication network development process are briefly described, and the advantages and disadvantages of several communication technologies are analyzed and compared . In the end of the article, this paper comprehensive analyzed substation informa- tion system threats, present management situation and management system in actual operation.

Welcome to the Second International Workshop on Intelligent Communication Networks (IntelNet 2011), which is being held in conjunction with the 10th IEEE International Conference on Ubiqutious Computing and Communications (IUCC 2011) on August 24-26, 2011, in Dalian, China. Modern communication networks have been becoming more and more large-scaled and complicated due to rapid development and interconnection among heterogeneous communication networks. Therefore, the management and maintenance of modern communication networks have posed many grand challenges to both industrial and academic communication communities. To overcome these challenges, it is very necessary to find new levels of autonomy and intelligence in designing, deploying, managing, and maintaining communication networks. This workshop aims to bring together scientists, researchers, professionals, and practitioners from both industry and academia to exchange ideas, discuss solutions, share experiences, and report state-of-the-art research results on various aspects of intelligent communication networks. In response to the Call-for-Papers of IntelNet 2011, twelve submissions were received from different countries. All submissions were reviewed by at least two referees from the technical program committee to ensure that papers published by IntelNet 2011 are of high quality. The submissions were then ranked according to their original contribution, technical strength, presentation, and relevance to the theme of the workshop. Finally, six papers were selected for presentation at the workshop and inclusion in the proceedings of IUCC 2011. We highly appreciate the IUCC Workshop Organizing Committee for giving us this opportunity to organize IntelNet 2011. We are very grateful to the Steering Committee for their valuable advice and continued support. We would also like to thank the authors for their great contributions and all Program Committee members for providing timely and in-depth reviews. Finally, we thank the attendees of this workshop and hope you will enjoy the program.

Agent-based modeling and simulation in architecture

Discrete event-driven simulations of digital communication networks have been used widely. However, it is difficult to use a network simulator to simulate a hybrid system in which some objects are not discrete event-driven but are continuous time-driven. A networked control system (NCS) is such an application, in which physical process dynamics are continuous by nature. We have designed and implemented a hybrid simulation environment which effectively integrates models of continuous-time plant processes and discrete-event communication networks by extending the open source network simulator NS-2. To do this a synchronisation mechanism was developed to connect a continuous plant simulation with a discrete network simulation. Furthermore, for evaluating co-design approaches in an NCS environment, a piggybacking method was adopted to allow the control period to be adjusted during simulations. The effectiveness of the technique is demonstrated through case studies which simulate a networked control scenario in which the communication and control system properties are defined explicitly.

The fast real-time application message is an object-oriented substation event—GOOSE (Generic Object Oriented Substation Event). It mainly works on the process layers and bay layers of digital substation. GOOSE intelligent substation communication network can realize the key function of the overall intelligent sub- station functions. This paper will make a systematic analysis of GOOSE. At first, it will provide a detailed analy- sis of the transmission mechanism and process of GOOSE message. As certain practical operability lacks the actual application of the multicast filtering method which is applied to GOOSE message based on IEC61850 standard, this paper will summarize three message filtering methods, compare the advantages and disadvantages in topological networks of different kinds in accordance with the instantaneity of GOOSE intelligent substation communication network and draw a conclusion that the independent configuration scheme of GOOSE and SV can adapt to the requirement of times, so as to provide theoretical references for the selection of practical intelli- gent substation communication network in the future.

A neural network-based traffic routing algorithm, to be implemented in an intelligent computer communication network, is presented. It simultaneously takes into account the shortest path and channel capacity and determines the necessary connections and weights of the neural network, thus providing an optimum transmission path from source node to destination node. The algorithm is based on the Hopfield type of neural network approach, and can be considered as a massively parallel distributed processing system with the ability to improve performance through dynamic learning. The power of neural network algorithms to solve routing problems and provide dynamic response to traffic conditions measured throughout the network system is investigated. No congestion occurs in this network because of the changes in the statistics of the input traffic load. A computer simulation result for a 10-node network shows the efficiency of using the neural network-based algorithm. >

Intelligent substation is an important part of building a strong and smart grid, which is the key “anchor” of six aspects of information exchange of smart grid. However, there are still some issues in the current construction of intelligent substation. To further improve the construction of intelligent substation, improve intensive network management, improve network scalability, this paper proposes applying OpenFlow-based SDN technology to the intelligent substation communication network, simulate the network environment and test the performance.

Simulation of communication system in control network plays important role in modern industrial production and can be used in various application. Based on development of WorldFIP field intelligent control network, a kind of communication simulation system was designed and implemented. Simulation principle and implementation methods for data communication in the network were presented. Design and implementation for simulation of network scheduler, intelligent nodes and WorldFIP network communication based on OOP and multi-thread methods were presented in detail. Visual and multi-layered HMI for the simulation system was designed. Techniques in OOP were fully used in design with VC.NET as principle programming language. Complete simulation of WorldFIP communication network and field intelligent nodes was implemented. Operational practice showed the simulation system was stable in operation, good in flexibility and portability, which showed good practicability.

This paper discusses how simulation is used to design and analyze communications networks. Topics discussed include: network issues addressed by simulation, simulation software for network modeling, techniques for building valid and credible models, and statistical considerations. A comprehensive example will also be given in the conference presentation.

This paper discusses how simulation is used to design and analyze communications networks. Topics discussed include: network issues addressed by simulation, simulation software for network modeling, techniques for building valid and credible models, and statistical considerations. A comprehensive example is also given.

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.

Intelligent Control for Design-Based Automated Assembly