Research On Key Technologies Of Internet Of Power Transmission And Transformation Equipments

When Internet of Things is applied in smart grid, it will fully integrate grid information resources and realize refinement, modeling and visualization of grid information. At present, the application of IOT in smart grid is also relatively simple. IOT has not been applied in operation and monitoring of grid facilities and optimization and management of power asset. Internet of power transmission and transformation equipments (IOTTE) is a new application of IOT applied in smart gird. It is the extension and development of smart gird from system intelligence to power transmission and transformation equipment intelligence, and will realize unification and normalization of information system, monitoring system, evaluation system and management system of equipment. IOTTE has characteristics of high relevance and hybridity in physical and information space, so it needs a comprehensive further study in its key technologies, including analysis and design, operation and optimization, advanced application and so on. Thus the study will provide technical foundation and verification platform for application of IOT in smart grid.According to the construction demand of IOTTE, this dissertation, which has been sponsored by the National High Technology Research and Development Program of China project (863Program)“Power transmission and transformation equipment intelligent monitoring and life cycle management based on IOT technology”(Grant No.2011AA05A120) and the National Natural Science Foundation of China project “Research on High Voltage Equipment monitoring and condition assessment based on IOT”(Grant No.61104090), is focused on IOTTE architecture, panoramic information model of smart substation equipment, Quality of Service(QoS) of smart substation equipment monitoring network, monitoring network topology and deployment, and practical application of Internet of power transmission and transformation equipments carried out in Yunnan Power Grid. Main researches can be summarized as follows:The concept and contents of IOTTE is summarized systematically. Based on power flow and information flow, layered and distributed architecture of IOTTE is proposed. The architecture is divided into four layers as Intelligent Perception Layer, Data Communication Layer, Information Integration Layer and Smart Application Layer. Based on four-layer architecture, several key technologies are analyzed including integrated intelligent monitoring device, equipment coding and labeling system and panoramic information modeling and so on.To solve the problem of “Information Island” and lack of unity and standardization of information model, data modeling technology is adopt. According to business requirement of life cycle management of IOTTE, equipment’s panoramic information is researched, and a unified modeling methodology is proposed. Reference to IEC61850and IEC61970/61968CIM, the principle and technique to extended panoramic information model is summarized. Furthermore, the modeling methodology is proposed for smart substation equipments. The process of insulator modeling, which has not been modeled in information standard at present, has been taken as examples. The panoramic information model includes basic model of asset, working model and online monitoring information model. The basic model of asset includes extended model based on EPC code and life cycle management, and the working model consists of includes test model, maintenance model, patrol model and diagnosis model.QoS of smart substation equipment monitoring network is studied. Two-layer smart substation architecture and self-healing double loop network is firstly proposed, and clustered smart substation equipment monitoring network is designed based on wireless sensor network (WSN). For the characteristics of monitoring network, data flow is analyzed and modeled and QoS metrics are researched. Aiming at network topology and load, the number of nodes and node transmitting power, QoS of monitoring network are simulated by OPNET software. Results show that cluster-like topology has better QoS than tree-like and mesh topology to the design of smart substation equipment monitoring network in this chapter.In order to optimize smart substation equipment monitoring network, the network model and data transfer model of clustering network is designed. Then using free space and Rayleigh-fading channel of energy consumption model, single-hope and multi-hop network consumption model is established respectively under ideal condition and electromagnetic environment. Group search optimization algorithm (GSO) is used to analyze energy consumption optimization problem for optimizing the topology of smart substation equipment monitoring network. The deployment of monitoring network is optimized using GSO algorithm, which achieved the best energy consumption of node cluster, network lifetime and distance factor.When the project of IOTTE carried out in Yunnan Power Grid，based on four-layer architecture of IOTTE, the project deployment scheme is designed, which includes system architecture, substation deployment, transmission line deployment and master station deployment. Communication network of the project is established from two aspects of substation and transmission line. Implementation method of panoramic information model is totally analyzed in three aspects: principle, requirement and concrete implement process.